9.5_chemometrics-IR.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chemometrics\n",
    "<br>\n",
    "**Julien Wist / 2017 / Universidad del Valle**\n",
    "<br>\n",
    "**Andrés Bernal / 2017 / ???**\n",
    "\n",
    "An up-to-date version of this notebook can be found here: https://github.com/jwist/chemometrics/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=4, repr.plot.height=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we load a few packages\n",
    "library(ggplot2)\n",
    "library(corrplot)\n",
    "library(reshape2)\n",
    "library(caret)\n",
    "library(MASS) # for LDA\n",
    "library(klaR) # for pls\n",
    "library(pls)\n",
    "library(e1071)# for pls\n",
    "library(pROC) # for pls\n",
    "library(vegan)\n",
    "require(scales)\n",
    "require(gridExtra);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's load some IR/NIR data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "load(url('https://github.com/jwist/chemometrics/raw/master/datasets/Coffee-IR-binned.rda'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "load(url('https://github.com/jwist/chemometrics/raw/master/datasets/Coffee-IR-ppm-binned.rda'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "load(url('https://github.com/jwist/chemometrics/raw/master/datasets/Coffee-NIR-binned.rda'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "load(url('https://github.com/jwist/chemometrics/raw/master/datasets/CoffeeiIR.rda'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### look at the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'allIRs'</li>\n",
       "\t<li>'irscale'</li>\n",
       "\t<li>'nirdev2scale'</li>\n",
       "\t<li>'ppm1'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'allIRs'\n",
       "\\item 'irscale'\n",
       "\\item 'nirdev2scale'\n",
       "\\item 'ppm1'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'allIRs'\n",
       "2. 'irscale'\n",
       "3. 'nirdev2scale'\n",
       "4. 'ppm1'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"allIRs\"       \"irscale\"      \"nirdev2scale\" \"ppm1\"        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ls()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'nmr'</li>\n",
       "\t<li>'ir'</li>\n",
       "\t<li>'nir'</li>\n",
       "\t<li>'metadata'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'nmr'\n",
       "\\item 'ir'\n",
       "\\item 'nir'\n",
       "\\item 'metadata'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'nmr'\n",
       "2. 'ir'\n",
       "3. 'nir'\n",
       "4. 'metadata'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"nmr\"      \"ir\"       \"nir\"      \"metadata\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names(allIRs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>85</li>\n",
       "\t<li>900</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 85\n",
       "\\item 900\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 85\n",
       "2. 900\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1]  85 900"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(allIRs$nir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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z9oZGRkbW3drFkz6amcFhYW5ubmdnZ2jRo1estNqV++fJmcnBwVFSVt1XfmzJnn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\ngIAGAICAnyZB+R5LXPQOAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width=8, repr.plot.height=3)\n",
    "plot(nirdev2scale, allIRs$nir[1,], type='l', xlab='freq', ylab='relative intensity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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g6WlpYODg6f3v9F+fn5mydPtrt4MZlh/Nu2LeXxxIMnV9YO6jrwdXSKnaakjTR8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8BHIAYvlK274rTM/qQg7RUzSO8Aif3L5I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HPTvH27pm1ocOfBxNvXZc7Ofbr2MX/zovu6ju9MDjguiQitvchQdzwEnX06epw2nbLO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\nNQZFDvrip1cikUgkEsm3638wQP+f8vUCdHh09NjNm3scO1Y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fy8CXGUoEigAAEbZJREFUGvd9/ts1S3NLT3U538VD6/FWwFstnVta++sA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\nAwAAACoQoAEAAAAVCNAAAACACv8Pv7chh8K6oh0AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplot(t(allIRs$nir), type='l')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>85</li>\n",
       "\t<li>1037</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 85\n",
       "\\item 1037\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 85\n",
       "2. 1037\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1]   85 1037"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(allIRs$ir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vXrEydOpBowAE9wUUADAADAL6qvr9+/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\nOpUAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width=8, repr.plot.height=3)\n",
    "plot(irscale, allIRs$ir[1,], type='l', xlab='freq', ylab='relative intensity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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32R8KKqUmQv1br6aZy9Bhw76ZDMX7V/enJY4OSFq5off7x8/xxrdUXE2QvSmDJZ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VvBTaVMmw2uBZSdt8G7s3OsDThKGamuXd\nlh+LPs62pUkxKVQKIzdGSoOkfQv7X26fdb+jA0pGxcE+tIYIKq9OdjqYHHqttkMtwRAsyQrr\n+J2emSpCpbVOlMQkaLBt0gl/sb3jWChebsvWyRFcV4VG5k34dyZ0mY2i00XuNQA4Fhnts4yV\nT6YUKdyNz407163y+X65zedUGVAP/NYu/v8fr4ClQH9gJnAG6Ar88WppHcDFh3oyLWAAHP/w\nsWpA+jufAfXW+p3KnWllL+UHbE87n2UGWJDO864ftUCxefJ1F4kGmlI83WTOuqbdUpzfZGoG\negObgcW/nIIgCYoHhgArY9kVBHGfZRN+2wgPEAOxwE1gDrD3/a9crk+Llq1LP8s09RzBkY1l\nlJGMFwESAAgNy899YSx7CI+L4KcD8Kvys5LWcpdyEGDBguUSGCKyDnIiepRGurAcgAHqACe0\n2XymYvNaleoNMGuk1+DTlT0MMDj6BZm/bTuo6zdfOUVG/XdDpQKeAXnAVbo5z6qSc53bkuIS\nxqiCdTAp2Qz8p3J376cyT2iBGRoIbKcdZQ8Tq6ewC7baZIZrLPVcU6PNSV3P5G1nS9aEc6qv\nW9uXdfLunJhYLvPq1JSigix2wvAHj29h7IxIoujlpod9h668mbDqv7+5/2T4VyXQOp2ubdu2\neXl5+FWGxrBhwy5duvTr3eLi4h4+fMjj/UsVdv49+PMI9LuJAwsa2RfR0Ys3bfpu/sId0z+V\n5OsWXr5eV+GnaxWzeJ4s52bOBmjiT138OOPwm8Dwjs+fRvumvJzXDhtBDj3K3F2NglJ+ZORq\npXJoQ+VVzzOuoYye2mkQujS4bS0RNrlv6lyoZxJltrU6FaxW3HmC52eIIz9yo3TmxVa8iem0\ndeu7NzEKgATLHCLwMWbv2bvnk7kaKoBPl/FgqpIGNgtcA5RJHFjNBH/flJlXOg12X1f10qH1\n2+RwAGGzZ9vbSJ/O3wgNMAIwAicAssZj+XkvnlPKrOFoYEWLdUSdWOvBgwrQ/3YICKA1IIYo\nVevSoqlkrTPrxMFwAiOA3Wj/MOlJ325ci8UAkRB6DWFDSCx8DU2CSYttN/LiBZW9fH/QzAej\nR57Y1J9rshAaNuZVavjzbBnR2Of27biU5wRtBVDKD7hk6nEenq8gDIwol8kyebzeISFLjxzx\n1uvrSHKLxTJHJFL5++8vLT3Q3FwOOMlkNbNnk198AXv737tz/8ZgWaSk4MkTvH6Nt29RUACj\n8R2wHXhDEOksqycIP5YtlMsxMrq0j+lY2ovtSm2TBAgHZIi+Rs49zlpp9iughiTbALsmTerw\nzTd/txtOVRX2ffxYe3fKUVRQCGlAtlxiWm5dpRzgf3TPIIWjQ5d7D1Z99VWX1BQrh8OxWpMp\nWSNt1wflFOgOXySnzGyPvcBeoAqgmDYz9+47d3z31AFFXGf/DIeEeb0mn6wqE18dcu9Gqybt\n1onD09zaGt5II1/GJC5t0AUTbmtfcyvdi4r8AWACbM+rWwwvHpJzpThrphWfr0UCDzI5z6nE\nWsVlTTJSRoJTT+sW8z8T2QWbFMTdyb2attlxmixdWzx+vre9dqYEJUALYBDQF5xburibuVFW\nbScwYdwgrqPldcDr1wGvc31zKx0r5u/4xJXxbP9DHMuVAuF4yOfW5Hl5ehOn9IWpr0AQogA/\n9whRQLDxEa+1vVuaVFpZZ0+o7P4zAVzIG5zcVa7c8gCy3kViFkSXBXQvcJ389eTaFg1O9U42\njTbFwmLWlRW+ERpa/UIfCT0BJVgflpvN9bbzLnUrtVLWbomd+z7qvCv+eL2j1OpVYhLqAASU\nC9rn2tk9HrWr2JktXs6+Z+mebugSjA2d+62vWXN8Rs8jPS2sRWgUirQilmSbXJvUPDWsICSL\n2Qmn5K358klN7/waKLXc/eGw+e9C73W8dzPuJli4pLl8vG9alC6+nbHj5k9rd3R5jfp+6Ilf\n6wxwzRaLvh6p4rAkgdjMrWwJdVuYW8Dye1OWvJ4l1a9VljvgZLNMlahYgyq9PqqGeKuzLzar\n42C1hewNOSlFdq1Xc7GHlaV+M4Ha6vhaeQzt9jmkfaHLIIpWs4M/oSqGObMuJ84Vd/+Bhy7A\nor/vUf9DSAS6ABwgC7AFtgAcYBWQBUwHWOAR8BIYDgiBbCANGAGIgTfAc2A0wAHeAbnAx0AE\ncA4wAecBH6AvUAXsArTANmAXMB/wAN4BaiAZ6A2I/7ZH16qvzXn3RaWkACRgBueuL8/2y9AR\n/S7Mcve+DvTE6y14tL/5VR6RVFFRXJxF09lAMWD4aZLwBg6R5CuJ5I6zs42jo5Obm0tYmGtc\nnLe9PUcmg06Hd+/opKSsmzdvFBa+oekkoAoAxfexGdqqafYTV6ZHcNn55yAMAUDMTyWbJgtV\nW8XJUbPiVNqxGRYbWt0NEX6QUgDAAEpACTLYyKTekm7e1HztBcByyUkdIunK/knz8ubtjUqr\nmrvvnEjU60+4jUgDDgG9gcGADWAENn74vqiZqIk5GVbFb2DK19imq9QuG0iPBkZnO2Xk1NTM\neTlMuCuh2xF37oexU15sMygKhSG8zMmThizfVWBVfDmun/b0mwOXh90efLH3n9HrPxX/qgR6\n06ZNS5Ys8fX1vXLlSnh4OICXL19GRUVJpdILFy506tQpNTV1/PjxVVVVR44cmTJlyv9it/9X\n8ScS6K92B377iR4iHsz3+/RYuGXL27AwAATDuidUfbXjwIWvu9yLjx+WkHBu5KgnLaLnrD2W\n/0UQKkGOvcIeisDWkz3Lk/wcsi910dQ6Nv/6zLIGJ7t6uX2Fvl2BsUupuihkQG5w94e9p1YX\nPMa0aZxKldWjDwLu2ZQ4bMfn08fniPat0vBdie9o95rbe05OOjlqN89iWbRvc1blngfTS62d\n8PG+g006anjmA9DAIBCPabI/QzRa6EdClvlv1iP5fAPfO98Ynmr2zeW6lZz8dvWNXnePd7kD\nvQ3KAgmVq6DWiyoPtNZ6GrXvpfBABTDMajMcytslDLB13vO8T7v+h29sObjQHurXROt2bFKm\nyL+1ocjCcnkw5wcFrVu2rLhFi3IPr3IfL4HJ1HdVTlbXCFNwbYfkpPjHD3rfvetTUgKAJUhN\nSIRN/56jDvW63hhnxCU+/8fY2NGRkf0OHx7U3NxGKp21Z8/ra9dq09LmlZRALH760UfOa9cG\nymT/5RX+e6CxEdu34+DBiurqc8ANgmiSSpM5HIFWu8JkWsvlSuPi2hYW9vV1GdJTcs2QvuYT\nbWMmMOBXZ+BRnPt+PR1Lq5aYl15FDrBJyA0yWF5zuRg/HmPHomPH3zfj/DVevqAfLb+ScX/h\nfbakDiDgxWJXD47NaeuoeqhXnzp6q1+/zaO/HP/kVLmPW1B+fhPlmE3Hu+HFlz3WSwVqlxu1\nuzInaWxswxY/av2suadfjI8l71zwRbWD0WBPN8s0DMnoBXqBWeBW57Zn/R6lvXLF7BVcM4ew\ncAQ6gUgr8FMIvVT/j723jq/i2t6Hn5njOSfu7kKMYIEEgqZYcKdAcHcoBVpocGjR4lKc4hKK\nBk8IhISECB53dzk5Ouv9I0Bpv+2Vyu3tfX/PZ/44M2fLmtlrz35m7bXXFgSllB9oXr0vYITi\nfMtSZ0vNPRYAOqDTm0iDqTX1ybLA6490GHlmOydTfvmkqAMb+y7cc3omeIA50AuYQIJHtR2+\nfugoqGk01RrX6eT2GuJXpP30UZG73JwYfti0sMiWkUmuSbW6tWB4EDojJZ/3Qul7scVbC305\nH7j8A7ZuxbJlPIHQWP12o+vmK52OV/vI41pwtdJ37g1Mg660zNqt0syxyrRQyxPI9XSVYpFS\nohY1ljakWNQ9Ze3bPwpIsc61tn9hf7vd7YZmDcgGHACAUfPNCpq3yB3qljKZtTVM6cSkOubn\n18kYlZ5Drdq0BNZFQs/CCln9m92frCgSpHOGRSTW8KpYjZ4GQgSebzny1eCLHeLjm8fUGRcD\nEGU7T4rOrCpzSSiyzMzMVwsFSEpiJ47jTp5hzPiU+QrX7mPfEWg1KKlGarpIJG0hyrD6vF/4\nJ3ECjaDrxeEPWkc3umQhBkwuS3H9etTtzPrUOisIai/gg9poCfUKtrGR36jUNdQjA2kVx9H/\n2dWCIbLkOFeGxy9VV8jVpfWc8pFG7sc2Buj9quaRBlwdiKApE5fXqXj5HPPKKC6qz7Pci725\nemN3viBUYzcQYKwyXhQyK/jSiRrT3mjviifpmDmsaucZg3+to/1GXANigEXAbWAoIAbeAIXA\nHMAc+B7IBtYC+sBWIB/YCoiBDUAxsA/QBxYCKcA8oB64C5wCZgMMkA9cBGYDpkAqkAfsBWTA\nemAB8C3gAGT9slBl6rJ1CetOlpwvv1vO7VDgLKQ6xgNurGPa9Q4YqTvNSp8tBTzA+aHOFXkd\nUScFVUCmBesMU1OYZkP9SlmVX6UoUtjU2ETNlC/WGXet+17TGtPw/TXzWgSv3jtfYMry2vOE\nVpa7FzyLjIxVqR4BgxneGiPLRYN6tVm9esjh11diTnvd4fnIXRnMBLifOqA3AMlAIuAJPRe4\n6Cc/K1mps+21Yn8pp6kEWna27HakdmaFvKLVZ6PZsYO+8Vy5gOH9wphXCCQBHQA9oAww+nei\nrCiARsAQcAPSgDXAl8A54BkwCJACc4Cl8C2KfZ55Hn02Qa+HqOqpUn88L3KdcGPi7DZ9T558\nlg8bHiBlUEsAsNprgVGHipl7jyJjgHdw2ZvsuIrrFXq9fl29/1vxdyXQAQEBT548uXTp0oAB\nA5quzJ8/f9u2bevWrVu6dGnTlQsXLgwZMqR79+4RERG/Vs7fHX8egQ4L3Xpycd/+Vy/N3n9W\nWpjHKtSlDibnJoU+9fZt/Sz+q1WrbnXvXqer+8nl2zMyEfMAACAASURBVGJSWqUWVNgaMy2J\np7qqpbFYv79/6ZUbLU4phWqnbJs6gbLMukysEDS/5/ymZVGNWT1fw9Py1cS+a19Zg9Q33c8v\n3aTN2+ShV/J7OF9Jdt9TH/4DALaFFTe/mP96qmj7hoYGPZlBZX2yIewYrAXWABWABLKF53Se\nymoruyqKRagEADFgqV8hNC2EXarSIrvOuERhVKoQKXUUOts2b0tyS9w5ahsZlcIsH9oc3hse\nz5inSmRwSQ9yLY4uR3ERNhyBtppnqWUtWLhBPVgtLbfaPzLqoEd2jFqkfN6O0/L5DCedUluz\nwQCpYNqS7bwiPdOyz/dtGpl7rop1J67EDCUZfDsnLu8N58GHxlaQpxXyGDX/Ztdui7d8I+I0\nNoeE6WNttLoF7m/fWhUVhh47FvTwIU+rVYklL737HK0YvSerpwpyobCbSvUMQGBgYHHx7IqK\nEe3a4fZtE46rEghGTp365YYNzaT/x8ry/xNoNNi+HatWldTUhAJ3AS0gBnoBZyQSgZ2dxtqq\n6IsRKoecQ5aRkfWPH1sRaYFPmWExuhuyustMCoS6T5LY4TnVYrX0etfi0uhZbR/3q2Omvhr2\nFq57LL5TScRfZl1vgAuPH+jq2sLLy9XaWtfCApaWP/LpnLSCguvhHilpferOH4XkS6Tr8Syk\nmCrjhuzHbE2wYPH2PZMnTHB9Hu9gYOCcX6jl8Xha7UEEdELpLszasWi29hse86bipZ/j0UDb\nxOb6Rb71hQ6FF0Nj7/jGrF49pqkWYZUZNBYCkQGnqxE21C5dMb7Sp2Tz6M1a3s8D9eg16KUO\nSOURc9XzevNEv6/GPUsVsYH78+L69H912hcAvIGWQFPoFw/oWtYoFmj17ubqGzm20dUP25Vo\nXax47aAsNa5Ls0srMC0oMilKcU3JtM4M3RNq+Npw67atxHShcEOujKMtu7lr1xAa2lQ1w7JS\nV7fui86ZFL4urFokMiy82dqowbwEADQCfkqAx/OAHol+WfZ7LvWIss207fSq3Y1P75fblEvq\nJMavjIvFxZrmGuQBtu/uhVXzDcoN2ieN4Mzd9Nnu0R0bc0XOMJVC/M93U/sRWpJUM2b5XLPU\ncmHJlWcGO/M9kwCAMGnvvJeG2vgu4WrzPADSRr7/S17AcyrglqZVPwg8GynV8g9vLSwp2qXZ\n9y1xJNTVbSFWuHWuuDJKv1K/2js5sNXzlkeH7HQ74DZENdXccOZnywvUpk4fJr8ZjoRV1Q6F\n+YFPnlTdupWVlvb69WuVSmViYmpvbxcQENB22LBcL2/zcqWxhF9sYWiYl1Nx507UvXuJiSkK\nhWrKlPlffjnzyZMnhmZmtx0djzc2PhXq0EdeFvx6LuBGaaJFbr2rFQ+cVGRAPHGd3s8t2Iy6\nOOhuwZdbWz0cQt+O0dSJBdiTLP2ivaBW4PPoVdQwSywFpv8bT/S3owYQvdvC8LdDA8QAYqAN\noAEKAZv/43BQAxwHeMB0oDuQCmwBBv1CYQqF4urVq18WLE+zT6VTHC4Dd9hPkoKH3B7bM6Gb\nXYE5gGfLkDrz+hCn7vxG/oON6m96jLzid4bHveOhWpabFLjj+8/Ctu34xuSZydcGe/MWp2bP\ne6Wj0AFQaFqo7M1Ybzbe/+LUyWWa2MeGHDcVKAekEsdWjWMKxAMLuun3c5TMznkQ+PAE26AD\nEoExhKWO3NnuaH6bK0d8t7Vm3L6/XjZ7XPeGmiTATFfcfb1D+6lpk5RC5fQJl7/fMfIkwwz/\n+K4IeAY4ADzAAlACG4FRgB0gBC4DwYDyny0YPQVMA3SBfOA1IABcfprgORAIaBBVicKRmvjn\n6zYfC7Mp7Zlvf1N38SxzW9bdb/umr8Tzai/dQncilmG4r2h1AAwideX7L7+s1L1E3ThDabPK\nwmf/Vvv/l+DvSqD19PTq6upKS0tNTd/5Rrm4uGRkZKSlpbm4vGvhmpoaAwMDMzOzkpKS/4S8\nfwX+PALdJeTKg2/6wgNfuqydVPedUpdnllNlSJXVMODAStEggrIaBnqoYUHi5QpVilByv0re\nwpp5qOi0svmD3snSCnO5UYl0Ia8+zAu2VuDpAQRtNeRV+CEXV0oxH3CDbr3INs0+rVmeWtwI\ngFVIuIQua5OYJ7ae115mcZcugeOY2ZY0rEZ2eCnvxIIarQTNwKSDp+Q0xiy0QCUYwFrUaOb8\ngtc88usbnQ6O3vX9+KMoBQrAZIjR0hKNRGezUSXUEZmwy6X1K+qQw6G0HnI5AB5/h0tw7tu6\nxzAwwM6d0GgwbBj/RYZG/d52fu46SjPx+SLW11Q8pVLuyMfDPvy7Qyi6t1YjYEAGfEV1hJi6\nMvonz9ybveDg4OUkp3HhR1o2PNMwYobUIigfy1o6eYgzUwQSVa0r0mSoJzDbxs3bEPZFqcO7\nQNS9rt8I2XlPx6LCLTU1ICZGY2Z1o+WcBbFTMite9e27NyLitEql8vLKefnSmGFidXW31dZe\nAXgy2eS9e78dNep/1lXp1xAZiSlTkJoKmeyJStXV2rqvVDq+T3fPIJNib8Xz+/ePRb56mVpZ\nmU5UAkxkBSG8/mFqpxfBYyVzXOW9BOBjRPLzoy1au2Wl5tjbT923L2na3FghDRuw/s3Z4GFG\nd2apt5ys6zYDSUDK+zqZPghtBi8Jcr7D97VoUECrAQegCya9ZVYVkinwgs/3bdGC7as4N/L1\nHK+GHLWKb9I9fZlycwfEN09OruBMJ2PXcv76T0bfrr5iwOugkvW46pW5M73zq1KLEgCGNYay\n6G4OCWPyu/TNOvktk7CRz5WrSQUAJiYoLsbmzVi8WMDabTV5seTz0/UblzMSHVZXn7EzFdgU\nOHjSjDszXni+2Ddsn45Cp1NCp4C4lj2ijVtkZx9p+SpW36zU5OsyR6squuKaHrPt0lVHtnWF\nrEOCu250m+fd4rp1ie9if9U+1zL33R2zUlbhjCwLfrqB4GFmQ06GueckzSctKmZ+yojFwZuj\nHEp58vs9dI3K613ZAgdJui3lWb93hyJGmus2LjbYKc73iVHW5bnbOb5KI9Dwn/LJ20SnxqHe\nScMwJgzHFyhEekq95m8DNHpGIl6zJN+6YliAb6QDqcKc5X42zBOYaq1OTqNfTGlHW7lVc30r\nXV0DgW5xLe+lnEuuqC9mGL5M7lSXk6Kv/8rWlSTsT8KiEWQVefVvz0FnP9FbnWgdVUuVUVQ7\nlwyjglaNxS2ilaIfHUKMqiSWlXYWFQZGta85RptnhgQvuZYlkyL7iT+M+WbKWmLIL35GifPO\n0k6Mlg9wHIjRK28IInXXtBc1d+9WVlSOGvXtzJlTnj37jmHMifwAGVDFMKlE+dbW/gcOxJ45\nM+/evSs1NTW1te+Djbzb/W+aWDxBpZJynMLDo8XUqaGDR3z6uNbsQTmS5MgHnG1w3qo2LK9x\nt5f5B5klJdQisa5O+uy13g8afjm/rsRW00NlPrbA1RiAEwdmxcusNX4cadYLN03csdB0KvAd\nMPEP6ZT/lTgIrAYGAluBcKAj8Ev+b3K5/M6dO1du3zojOVPnWA5XwAimVaYee9slFpc3bH0y\n9/Rcs1j34/Jbr5dc7ZzcXjdXt7SmtLCqsPRpqVKpYs3MhGZmAjMzlVyuKiyUljS0E/r11O3Z\nq75Xs5pmM2bNv9EzfGrE9Bkzp5Xx2PHjv42ODgeeAcSKnSnQhIblbRqwYKH5wkpNZae0TmmK\nNKVWidu2sos2ypQsraYNx/3AMGGOjio9t9jjydu9i7yfuSeO2h5p2X3ONrC+P7uZzkAkMBXY\nA+wFpMBAQApsAR4CywEt0B7wAX4AzICbgAToDuQBy4A84BxwDdgHTAPG/PqzTQcSgaG4Fvik\nT0yAfYhzzjoloy6kqsn8Tjvi/H2fOmSHhrNq8JIE7m7qvDR73qKq0wnd2mnmm3SN6Hl37dnO\nbWbcj9v1B7b2fwx/SwL9T+PW/SL+J2N6/HkEuv3KR3Gr2pOM09ay/LNq7RD+zF27Ns37IpVx\n9tEkZfGdhXqqkxNHrFm2bPD8JaeP7hBqefMHno1RrEXzlIihaJEY+NwvR2O+iWc1RMv+wrIU\nhtNKa0vr2STUP0RdJOqTwTTYZ+rplNu+bfmW42t0FMJ+Dw1LxZ/eS6w00/YorRjDBHDUnWdy\nc2TXXRsUZVaV0lqVbrXYrKC2ZVTaoD0N1jkAUAPsBXJ18Iygej8KfvcdunSBiwuIeIZHuMRO\n5NscOjqwtWWDOs6+Fx2VtnqRbXpVi6/KDTiRcrJYIzZoOOb/LNuonF6JTL5euPhV8MwScb5q\nwUzk5rJOy7n00SgFL0iXG6qh4hDxpclcXLCKWKYl9Ove6LS9Urj3M+gwCINgk0rnkNKvIeHb\nrxfFpw7XN8zoX3NQwKlLBDY6aHypdpWg0Rcp5aYmdzsE/+DVV1hlODKgRWiIYamBcPqePStW\nrjErKVTKdOuGTDVZPXfCV5IjRzJCQvxLSkbHx58GlhD1F4kWK5WRQFr37k5798LR8Y9VhP9S\nFBVh/PiYiIgVDBNMtMjdHW9uZOHUqanbth0qKxsAnAP8gGTAkCcwYc1U6tYlWKZAa5t9VflT\nDFmOC4iMGXX6+6EXz5mUl5eamcUEBPg+f14iMgpMfsJGVLU7K2ZP30pRd2srSiKJzgu5uEj1\nBkgHioC5gLMBsgPgnMrYZ5A3YAr4ABMZyDobP/9atibXpX36khYZ6a/3T5+2umOnbq/r2lal\nPOjYsdu9e9fR4SgWnEd/w9tlFcHm5p9H6ck+y+/6qlGngS2yDjzd07HT6stFZ2q/mg8eDzU1\nnuPWS8LX6RujuI2zxphvJJEYuC8tqn5jfv0bh6L6Ltq7+4a9f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iIc/Llhn7mfvBpYLoi+30r/rV3Rh6ixxjVGkkaJUAu3HKPiirev3cha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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplot(t(allIRs$ir), type='l')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a look to the metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>ID</th><th scope=col>dateReception</th><th scope=col>name</th><th scope=col>country</th><th scope=col>department</th><th scope=col>city</th><th scope=col>species</th><th scope=col>composition</th><th scope=col>presentation</th><th scope=col>beneficioType</th><th scope=col>⋯</th><th scope=col>fermentationType</th><th scope=col>drying</th><th scope=col>dryingTime</th><th scope=col>certification</th><th scope=col>certificationType</th><th scope=col>color</th><th scope=col>Temp.roasting</th><th scope=col>X.Humidity.Sinar</th><th scope=col>species1</th><th scope=col>groups</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>AC1160                            </td><td>Feb 2012                          </td><td>Rove100-14                        </td><td>India                             </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido y verde molido     </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>4</th><td>AC1161                            </td><td>Feb 2012                          </td><td>Rove100-15                        </td><td>Indonesia                         </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido y verde molido     </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>7</th><td>AC1162                            </td><td>Feb 2012                          </td><td>Rove100-16                        </td><td>Vietnam                           </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido y verde molido     </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>10</th><td>AC1163                            </td><td>Feb 2012                          </td><td>Rove100-17                        </td><td>Vietnam                           </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido y verde molido     </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>13</th><td>AC1164                            </td><td>Feb 2012                          </td><td>Rove100-18                        </td><td>Indonesia                         </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido y verde molido     </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>16</th><td>AC1168                            </td><td>Mar 2012                          </td><td>TPAAH12002                        </td><td>Colombia                          </td><td>Tolima                            </td><td>Ibague                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>22</th><td>AC1170                            </td><td>Mar 2012                          </td><td>TCHAH12003                        </td><td>Colombia                          </td><td>Tolima                            </td><td>Ibague                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>25</th><td>AC1171                            </td><td>Mar 2012                          </td><td>TICOAH12008                       </td><td>Colombia                          </td><td>Tolima                            </td><td>Ibague                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>28</th><td>AC1198                            </td><td>290312                            </td><td>BRAAS12062                        </td><td>Brazil                            </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Brazil                            </td></tr>\n",
       "\t<tr><th scope=row>37</th><td>AC1201                            </td><td>290312                            </td><td>HPAAH12051                        </td><td>Colombia                          </td><td>Huila                             </td><td>Palestina                         </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>40</th><td>AC1204                            </td><td>290312                            </td><td>BRAAS12063                        </td><td>Brazil                            </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Brazil                            </td></tr>\n",
       "\t<tr><th scope=row>43</th><td>AC1205                            </td><td>290312                            </td><td>HSMAH12053                        </td><td>Colombia                          </td><td>Huila                             </td><td>Santa María                       </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>46</th><td>AC1206                            </td><td>290312                            </td><td>HPAAH12049                        </td><td>Colombia                          </td><td>Huila                             </td><td>Paicol                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>52</th><td>AC1208                            </td><td>290312                            </td><td>HCOAH12050                        </td><td>Colombia                          </td><td>Huila                             </td><td>Colombia                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>58</th><td>AC1212                            </td><td>290312                            </td><td>MSMAH12043                        </td><td>Colombia                          </td><td>Magdalena                         </td><td>Santa Marta                       </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido                      </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>61</th><td>AC1213                            </td><td>290312                            </td><td>BRAAS12064                        </td><td>Brazil                            </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Brazil                            </td></tr>\n",
       "\t<tr><th scope=row>64</th><td>AC1216                            </td><td>290312                            </td><td>HNAAH12057                        </td><td>Colombia                          </td><td>Huila                             </td><td>Nataga                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>67</th><td>AC1217                            </td><td>290312                            </td><td>HTEAH12048                        </td><td>Colombia                          </td><td>Huila                             </td><td>Tesalia                           </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido y verde molido     </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>76</th><td>AC1234                            </td><td>Jun2012                           </td><td>TANRS11078                        </td><td>Tanzania                          </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>79</th><td>AC1241                            </td><td>Jun2012                           </td><td>NBUAH12031                        </td><td>Colombia                          </td><td>Narino                            </td><td>Buesaco                           </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>85</th><td>AC1243                            </td><td>Jun2012                           </td><td>NTAAH12033                        </td><td>Colombia                          </td><td>Narino                            </td><td>Taminango                         </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>88</th><td>AC1246                            </td><td>Jun2012                           </td><td>NTBAH12036                        </td><td>Colombia                          </td><td>Narino                            </td><td>Tablon                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>91</th><td>AC1247                            </td><td>Jun2012                           </td><td>NROAH12037                        </td><td>Colombia                          </td><td>Narino                            </td><td>Rosario                           </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>94</th><td>AC1248                            </td><td>Jun2012                           </td><td>NSJAH12038                        </td><td>Colombia                          </td><td>Narino                            </td><td>San Jose                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>97</th><td>AC1250                            </td><td>Jun2012                           </td><td>VIERS11068                        </td><td>Vietnam                           </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>100</th><td>AC1251                            </td><td>Jun2012                           </td><td>CAMRS11069                        </td><td>Cameroon                          </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>103</th><td>AC1252                            </td><td>Jun2012                           </td><td>TOGRS11070                        </td><td>Togo                              </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>106</th><td>AC1256                            </td><td>Jun2012                           </td><td>INDRH11073                        </td><td>India                             </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>109</th><td>AC1258                            </td><td>Jun2012                           </td><td>UGARS11075                        </td><td>Uganda                            </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>112</th><td>AC1260                            </td><td>Jun2012                           </td><td>SUMRS11077                        </td><td>Indonesia                         </td><td>Sumatra                           </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>verde molido y tostado molido fino</td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋱</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><th scope=row>201</th><td>AC1347                            </td><td>80812                             </td><td>GUAAH12165                        </td><td>Guatemala                         </td><td>Maracaturra                       </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>204</th><td>AC1348                            </td><td>80812                             </td><td>GUAAH12166                        </td><td>Guatemala                         </td><td>Hueltuetenango                    </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>207</th><td>AC1349                            </td><td>80812                             </td><td>GUAAH12167                        </td><td>Guatemala                         </td><td>Atitlan                           </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>210</th><td>AC1353                            </td><td>80812                             </td><td>CTIAH12172                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Timbio                            </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>213</th><td>AC1354                            </td><td>80812                             </td><td>CPIAH12173                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Piendamo                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>216</th><td>AC1355                            </td><td>80812                             </td><td>CPIAH12174                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Piendamo                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>219</th><td>AC1356                            </td><td>80812                             </td><td>CPIAH12175                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Piendamo                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>222</th><td>AC1358                            </td><td>80812                             </td><td>CPIAH12177                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Piendamo                          </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>verde molido y tostado molido fino</td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>225</th><td>AC1375                            </td><td>180213                            </td><td>BRAA?12187                        </td><td>Brazil                            </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Brazil                            </td></tr>\n",
       "\t<tr><th scope=row>231</th><td>AC1377                            </td><td>180213                            </td><td>PERAH12189                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>234</th><td>AC1379                            </td><td>180213                            </td><td>CRIAH12191                        </td><td>Costa Rica                        </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>240</th><td>AC1382                            </td><td>180213                            </td><td>GUAAH12194                        </td><td>Guatemala                         </td><td>Hueltuetenango                    </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>243</th><td>AC1387                            </td><td>180213                            </td><td>PERAH12199                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>246</th><td>AC1388                            </td><td>180213                            </td><td>PERAH12200                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>249</th><td>AC1389                            </td><td>180213                            </td><td>VIERS12201                        </td><td>Vietnam                           </td><td>NA                                </td><td>NA                                </td><td>Robusta                           </td><td>100                               </td><td>tostado molido fino               </td><td>s                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>-1                                </td><td>Robusta                           </td></tr>\n",
       "\t<tr><th scope=row>252</th><td>AC1394                            </td><td>180213                            </td><td>GUALH12206                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>255</th><td>AC1395                            </td><td>180213                            </td><td>GUALH12207                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>261</th><td>AC1404                            </td><td>190313                            </td><td>GUAAH12213                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>264</th><td>AC1405                            </td><td>190313                            </td><td>GUAAH12214                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>267</th><td>AC1406                            </td><td>190313                            </td><td>BRAA?12215                        </td><td>Brazil                            </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>unknown                           </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Brazil                            </td></tr>\n",
       "\t<tr><th scope=row>270</th><td>AC1407                            </td><td>190313                            </td><td>PERAH12216                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>273</th><td>AC1409                            </td><td>190313                            </td><td>CRIAH12218                        </td><td>Costa Rica                        </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>276</th><td>AC1412                            </td><td>190313                            </td><td>PERAH12221                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>279</th><td>AC1413                            </td><td>190313                            </td><td>GUAAH12222                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>288</th><td>AC1421                            </td><td>90413                             </td><td>GUAAH12231                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>291</th><td>AC1424                            </td><td>90413                             </td><td>CRIAH12234                        </td><td>Costa Rica                        </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>297</th><td>AC1428                            </td><td>90413                             </td><td>PERAH13239                        </td><td>Peru                              </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Peru                              </td></tr>\n",
       "\t<tr><th scope=row>303</th><td>AC1432                            </td><td>90413                             </td><td>GUAAH13236                        </td><td>Guatemala                         </td><td>NA                                </td><td>NA                                </td><td>Arabica                           </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Others                            </td></tr>\n",
       "\t<tr><th scope=row>306</th><td>AC1436                            </td><td>150413                            </td><td>CPOAH13245                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Popayan                           </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "\t<tr><th scope=row>309</th><td>AC1437                            </td><td>150413                            </td><td>CINAH13246                        </td><td>Colombia                          </td><td>Cauca                             </td><td>Inza                              </td><td>100% ARABICA COLOMBIA             </td><td>  0                               </td><td>tostado molido fino               </td><td>h                                 </td><td>⋯                                 </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>NA                                </td><td>1                                 </td><td>Colombia                          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       "  & ID & dateReception & name & country & department & city & species & composition & presentation & beneficioType & ⋯ & fermentationType & drying & dryingTime & certification & certificationType & color & Temp.roasting & X.Humidity.Sinar & species1 & groups\\\\\n",
       "\\hline\n",
       "\t1 & AC1160                             & Feb 2012                           & Rove100-14                         & India                              & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido y verde molido      & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t4 & AC1161                             & Feb 2012                           & Rove100-15                         & Indonesia                          & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido y verde molido      & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t7 & AC1162                             & Feb 2012                           & Rove100-16                         & Vietnam                            & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido y verde molido      & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t10 & AC1163                             & Feb 2012                           & Rove100-17                         & Vietnam                            & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido y verde molido      & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t13 & AC1164                             & Feb 2012                           & Rove100-18                         & Indonesia                          & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido y verde molido      & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t16 & AC1168                             & Mar 2012                           & TPAAH12002                         & Colombia                           & Tolima                             & Ibague                             & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t22 & AC1170                             & Mar 2012                           & TCHAH12003                         & Colombia                           & Tolima                             & Ibague                             & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t25 & AC1171                             & Mar 2012                           & TICOAH12008                        & Colombia                           & Tolima                             & Ibague                             & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t28 & AC1198                             & 290312                             & BRAAS12062                         & Brazil                             & NA                                 & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Brazil                            \\\\\n",
       "\t37 & AC1201                             & 290312                             & HPAAH12051                         & Colombia                           & Huila                              & Palestina                          & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t40 & AC1204                             & 290312                             & BRAAS12063                         & Brazil                             & NA                                 & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Brazil                            \\\\\n",
       "\t43 & AC1205                             & 290312                             & HSMAH12053                         & Colombia                           & Huila                              & Santa María                        & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t46 & AC1206                             & 290312                             & HPAAH12049                         & Colombia                           & Huila                              & Paicol                             & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t52 & AC1208                             & 290312                             & HCOAH12050                         & Colombia                           & Huila                              & Colombia                           & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t58 & AC1212                             & 290312                             & MSMAH12043                         & Colombia                           & Magdalena                          & Santa Marta                        & 100\\% ARABICA COLOMBIA            &   0                                & verde molido                       & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t61 & AC1213                             & 290312                             & BRAAS12064                         & Brazil                             & NA                                 & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Brazil                            \\\\\n",
       "\t64 & AC1216                             & 290312                             & HNAAH12057                         & Colombia                           & Huila                              & Nataga                             & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t67 & AC1217                             & 290312                             & HTEAH12048                         & Colombia                           & Huila                              & Tesalia                            & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido y verde molido      & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t76 & AC1234                             & Jun2012                            & TANRS11078                         & Tanzania                           & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t79 & AC1241                             & Jun2012                            & NBUAH12031                         & Colombia                           & Narino                             & Buesaco                            & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t85 & AC1243                             & Jun2012                            & NTAAH12033                         & Colombia                           & Narino                             & Taminango                          & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t88 & AC1246                             & Jun2012                            & NTBAH12036                         & Colombia                           & Narino                             & Tablon                             & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t91 & AC1247                             & Jun2012                            & NROAH12037                         & Colombia                           & Narino                             & Rosario                            & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t94 & AC1248                             & Jun2012                            & NSJAH12038                         & Colombia                           & Narino                             & San Jose                           & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t97 & AC1250                             & Jun2012                            & VIERS11068                         & Vietnam                            & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t100 & AC1251                             & Jun2012                            & CAMRS11069                         & Cameroon                           & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t103 & AC1252                             & Jun2012                            & TOGRS11070                         & Togo                               & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t106 & AC1256                             & Jun2012                            & INDRH11073                         & India                              & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t109 & AC1258                             & Jun2012                            & UGARS11075                         & Uganda                             & NA                                 & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t112 & AC1260                             & Jun2012                            & SUMRS11077                         & Indonesia                          & Sumatra                            & NA                                 & Robusta                            & 100                                & verde molido y tostado molido fino & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t201 & AC1347                             & 80812                              & GUAAH12165                         & Guatemala                          & Maracaturra                        & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t204 & AC1348                             & 80812                              & GUAAH12166                         & Guatemala                          & Hueltuetenango                     & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t207 & AC1349                             & 80812                              & GUAAH12167                         & Guatemala                          & Atitlan                            & NA                                 & Arabica                            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t210 & AC1353                             & 80812                              & CTIAH12172                         & Colombia                           & Cauca                              & Timbio                             & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t213 & AC1354                             & 80812                              & CPIAH12173                         & Colombia                           & Cauca                              & Piendamo                           & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t216 & AC1355                             & 80812                              & CPIAH12174                         & Colombia                           & Cauca                              & Piendamo                           & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t219 & AC1356                             & 80812                              & CPIAH12175                         & Colombia                           & Cauca                              & Piendamo                           & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t222 & AC1358                             & 80812                              & CPIAH12177                         & Colombia                           & Cauca                              & Piendamo                           & 100\\% ARABICA COLOMBIA            &   0                                & verde molido y tostado molido fino & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t225 & AC1375                             & 180213                             & BRAA?12187                         & Brazil                             & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Brazil                            \\\\\n",
       "\t231 & AC1377                             & 180213                             & PERAH12189                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t234 & AC1379                             & 180213                             & CRIAH12191                         & Costa Rica                         & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t240 & AC1382                             & 180213                             & GUAAH12194                         & Guatemala                          & Hueltuetenango                     & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t243 & AC1387                             & 180213                             & PERAH12199                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t246 & AC1388                             & 180213                             & PERAH12200                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t249 & AC1389                             & 180213                             & VIERS12201                         & Vietnam                            & NA                                 & NA                                 & Robusta                            & 100                                & tostado molido fino                & s                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & -1                                 & Robusta                           \\\\\n",
       "\t252 & AC1394                             & 180213                             & GUALH12206                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t255 & AC1395                             & 180213                             & GUALH12207                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t261 & AC1404                             & 190313                             & GUAAH12213                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t264 & AC1405                             & 190313                             & GUAAH12214                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t267 & AC1406                             & 190313                             & BRAA?12215                         & Brazil                             & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & unknown                            & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Brazil                            \\\\\n",
       "\t270 & AC1407                             & 190313                             & PERAH12216                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t273 & AC1409                             & 190313                             & CRIAH12218                         & Costa Rica                         & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t276 & AC1412                             & 190313                             & PERAH12221                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t279 & AC1413                             & 190313                             & GUAAH12222                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t288 & AC1421                             & 90413                              & GUAAH12231                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t291 & AC1424                             & 90413                              & CRIAH12234                         & Costa Rica                         & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t297 & AC1428                             & 90413                              & PERAH13239                         & Peru                               & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Peru                              \\\\\n",
       "\t303 & AC1432                             & 90413                              & GUAAH13236                         & Guatemala                          & NA                                 & NA                                 & Arabica                            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Others                            \\\\\n",
       "\t306 & AC1436                             & 150413                             & CPOAH13245                         & Colombia                           & Cauca                              & Popayan                            & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\t309 & AC1437                             & 150413                             & CINAH13246                         & Colombia                           & Cauca                              & Inza                               & 100\\% ARABICA COLOMBIA            &   0                                & tostado molido fino                & h                                  & ⋯                                  & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & NA                                 & 1                                  & Colombia                          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | ID | dateReception | name | country | department | city | species | composition | presentation | beneficioType | ⋯ | fermentationType | drying | dryingTime | certification | certificationType | color | Temp.roasting | X.Humidity.Sinar | species1 | groups | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | AC1160                             | Feb 2012                           | Rove100-14                         | India                              | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido y verde molido      | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 4 | AC1161                             | Feb 2012                           | Rove100-15                         | Indonesia                          | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido y verde molido      | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 7 | AC1162                             | Feb 2012                           | Rove100-16                         | Vietnam                            | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido y verde molido      | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 10 | AC1163                             | Feb 2012                           | Rove100-17                         | Vietnam                            | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido y verde molido      | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 13 | AC1164                             | Feb 2012                           | Rove100-18                         | Indonesia                          | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido y verde molido      | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 16 | AC1168                             | Mar 2012                           | TPAAH12002                         | Colombia                           | Tolima                             | Ibague                             | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 22 | AC1170                             | Mar 2012                           | TCHAH12003                         | Colombia                           | Tolima                             | Ibague                             | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 25 | AC1171                             | Mar 2012                           | TICOAH12008                        | Colombia                           | Tolima                             | Ibague                             | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 28 | AC1198                             | 290312                             | BRAAS12062                         | Brazil                             | NA                                 | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Brazil                             | \n",
       "| 37 | AC1201                             | 290312                             | HPAAH12051                         | Colombia                           | Huila                              | Palestina                          | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 40 | AC1204                             | 290312                             | BRAAS12063                         | Brazil                             | NA                                 | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Brazil                             | \n",
       "| 43 | AC1205                             | 290312                             | HSMAH12053                         | Colombia                           | Huila                              | Santa María                        | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 46 | AC1206                             | 290312                             | HPAAH12049                         | Colombia                           | Huila                              | Paicol                             | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 52 | AC1208                             | 290312                             | HCOAH12050                         | Colombia                           | Huila                              | Colombia                           | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 58 | AC1212                             | 290312                             | MSMAH12043                         | Colombia                           | Magdalena                          | Santa Marta                        | 100% ARABICA COLOMBIA              |   0                                | verde molido                       | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 61 | AC1213                             | 290312                             | BRAAS12064                         | Brazil                             | NA                                 | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Brazil                             | \n",
       "| 64 | AC1216                             | 290312                             | HNAAH12057                         | Colombia                           | Huila                              | Nataga                             | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 67 | AC1217                             | 290312                             | HTEAH12048                         | Colombia                           | Huila                              | Tesalia                            | 100% ARABICA COLOMBIA              |   0                                | tostado molido y verde molido      | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 76 | AC1234                             | Jun2012                            | TANRS11078                         | Tanzania                           | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 79 | AC1241                             | Jun2012                            | NBUAH12031                         | Colombia                           | Narino                             | Buesaco                            | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 85 | AC1243                             | Jun2012                            | NTAAH12033                         | Colombia                           | Narino                             | Taminango                          | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 88 | AC1246                             | Jun2012                            | NTBAH12036                         | Colombia                           | Narino                             | Tablon                             | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 91 | AC1247                             | Jun2012                            | NROAH12037                         | Colombia                           | Narino                             | Rosario                            | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 94 | AC1248                             | Jun2012                            | NSJAH12038                         | Colombia                           | Narino                             | San Jose                           | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 97 | AC1250                             | Jun2012                            | VIERS11068                         | Vietnam                            | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 100 | AC1251                             | Jun2012                            | CAMRS11069                         | Cameroon                           | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 103 | AC1252                             | Jun2012                            | TOGRS11070                         | Togo                               | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 106 | AC1256                             | Jun2012                            | INDRH11073                         | India                              | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 109 | AC1258                             | Jun2012                            | UGARS11075                         | Uganda                             | NA                                 | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 112 | AC1260                             | Jun2012                            | SUMRS11077                         | Indonesia                          | Sumatra                            | NA                                 | Robusta                            | 100                                | verde molido y tostado molido fino | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
       "| 201 | AC1347                             | 80812                              | GUAAH12165                         | Guatemala                          | Maracaturra                        | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 204 | AC1348                             | 80812                              | GUAAH12166                         | Guatemala                          | Hueltuetenango                     | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 207 | AC1349                             | 80812                              | GUAAH12167                         | Guatemala                          | Atitlan                            | NA                                 | Arabica                            |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 210 | AC1353                             | 80812                              | CTIAH12172                         | Colombia                           | Cauca                              | Timbio                             | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 213 | AC1354                             | 80812                              | CPIAH12173                         | Colombia                           | Cauca                              | Piendamo                           | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 216 | AC1355                             | 80812                              | CPIAH12174                         | Colombia                           | Cauca                              | Piendamo                           | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 219 | AC1356                             | 80812                              | CPIAH12175                         | Colombia                           | Cauca                              | Piendamo                           | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 222 | AC1358                             | 80812                              | CPIAH12177                         | Colombia                           | Cauca                              | Piendamo                           | 100% ARABICA COLOMBIA              |   0                                | verde molido y tostado molido fino | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 225 | AC1375                             | 180213                             | BRAA?12187                         | Brazil                             | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Brazil                             | \n",
       "| 231 | AC1377                             | 180213                             | PERAH12189                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 234 | AC1379                             | 180213                             | CRIAH12191                         | Costa Rica                         | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 240 | AC1382                             | 180213                             | GUAAH12194                         | Guatemala                          | Hueltuetenango                     | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 243 | AC1387                             | 180213                             | PERAH12199                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 246 | AC1388                             | 180213                             | PERAH12200                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 249 | AC1389                             | 180213                             | VIERS12201                         | Vietnam                            | NA                                 | NA                                 | Robusta                            | 100                                | tostado molido fino                | s                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | -1                                 | Robusta                            | \n",
       "| 252 | AC1394                             | 180213                             | GUALH12206                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 255 | AC1395                             | 180213                             | GUALH12207                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 261 | AC1404                             | 190313                             | GUAAH12213                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 264 | AC1405                             | 190313                             | GUAAH12214                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 267 | AC1406                             | 190313                             | BRAA?12215                         | Brazil                             | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | unknown                            | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Brazil                             | \n",
       "| 270 | AC1407                             | 190313                             | PERAH12216                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 273 | AC1409                             | 190313                             | CRIAH12218                         | Costa Rica                         | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 276 | AC1412                             | 190313                             | PERAH12221                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 279 | AC1413                             | 190313                             | GUAAH12222                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 288 | AC1421                             | 90413                              | GUAAH12231                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 291 | AC1424                             | 90413                              | CRIAH12234                         | Costa Rica                         | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 297 | AC1428                             | 90413                              | PERAH13239                         | Peru                               | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Peru                               | \n",
       "| 303 | AC1432                             | 90413                              | GUAAH13236                         | Guatemala                          | NA                                 | NA                                 | Arabica                            |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Others                             | \n",
       "| 306 | AC1436                             | 150413                             | CPOAH13245                         | Colombia                           | Cauca                              | Popayan                            | 100% ARABICA COLOMBIA              |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "| 309 | AC1437                             | 150413                             | CINAH13246                         | Colombia                           | Cauca                              | Inza                               | 100% ARABICA COLOMBIA              |   0                                | tostado molido fino                | h                                  | ⋯                                  | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | NA                                 | 1                                  | Colombia                           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "    ID     dateReception name        country    department     city       \n",
       "1   AC1160 Feb 2012      Rove100-14  India      NA             NA         \n",
       "4   AC1161 Feb 2012      Rove100-15  Indonesia  NA             NA         \n",
       "7   AC1162 Feb 2012      Rove100-16  Vietnam    NA             NA         \n",
       "10  AC1163 Feb 2012      Rove100-17  Vietnam    NA             NA         \n",
       "13  AC1164 Feb 2012      Rove100-18  Indonesia  NA             NA         \n",
       "16  AC1168 Mar 2012      TPAAH12002  Colombia   Tolima         Ibague     \n",
       "22  AC1170 Mar 2012      TCHAH12003  Colombia   Tolima         Ibague     \n",
       "25  AC1171 Mar 2012      TICOAH12008 Colombia   Tolima         Ibague     \n",
       "28  AC1198 290312        BRAAS12062  Brazil     NA             NA         \n",
       "37  AC1201 290312        HPAAH12051  Colombia   Huila          Palestina  \n",
       "40  AC1204 290312        BRAAS12063  Brazil     NA             NA         \n",
       "43  AC1205 290312        HSMAH12053  Colombia   Huila          Santa María\n",
       "46  AC1206 290312        HPAAH12049  Colombia   Huila          Paicol     \n",
       "52  AC1208 290312        HCOAH12050  Colombia   Huila          Colombia   \n",
       "58  AC1212 290312        MSMAH12043  Colombia   Magdalena      Santa Marta\n",
       "61  AC1213 290312        BRAAS12064  Brazil     NA             NA         \n",
       "64  AC1216 290312        HNAAH12057  Colombia   Huila          Nataga     \n",
       "67  AC1217 290312        HTEAH12048  Colombia   Huila          Tesalia    \n",
       "76  AC1234 Jun2012       TANRS11078  Tanzania   NA             NA         \n",
       "79  AC1241 Jun2012       NBUAH12031  Colombia   Narino         Buesaco    \n",
       "85  AC1243 Jun2012       NTAAH12033  Colombia   Narino         Taminango  \n",
       "88  AC1246 Jun2012       NTBAH12036  Colombia   Narino         Tablon     \n",
       "91  AC1247 Jun2012       NROAH12037  Colombia   Narino         Rosario    \n",
       "94  AC1248 Jun2012       NSJAH12038  Colombia   Narino         San Jose   \n",
       "97  AC1250 Jun2012       VIERS11068  Vietnam    NA             NA         \n",
       "100 AC1251 Jun2012       CAMRS11069  Cameroon   NA             NA         \n",
       "103 AC1252 Jun2012       TOGRS11070  Togo       NA             NA         \n",
       "106 AC1256 Jun2012       INDRH11073  India      NA             NA         \n",
       "109 AC1258 Jun2012       UGARS11075  Uganda     NA             NA         \n",
       "112 AC1260 Jun2012       SUMRS11077  Indonesia  Sumatra        NA         \n",
       "⋮   ⋮      ⋮             ⋮           ⋮          ⋮              ⋮          \n",
       "201 AC1347 80812         GUAAH12165  Guatemala  Maracaturra    NA         \n",
       "204 AC1348 80812         GUAAH12166  Guatemala  Hueltuetenango NA         \n",
       "207 AC1349 80812         GUAAH12167  Guatemala  Atitlan        NA         \n",
       "210 AC1353 80812         CTIAH12172  Colombia   Cauca          Timbio     \n",
       "213 AC1354 80812         CPIAH12173  Colombia   Cauca          Piendamo   \n",
       "216 AC1355 80812         CPIAH12174  Colombia   Cauca          Piendamo   \n",
       "219 AC1356 80812         CPIAH12175  Colombia   Cauca          Piendamo   \n",
       "222 AC1358 80812         CPIAH12177  Colombia   Cauca          Piendamo   \n",
       "225 AC1375 180213        BRAA?12187  Brazil     NA             NA         \n",
       "231 AC1377 180213        PERAH12189  Peru       NA             NA         \n",
       "234 AC1379 180213        CRIAH12191  Costa Rica NA             NA         \n",
       "240 AC1382 180213        GUAAH12194  Guatemala  Hueltuetenango NA         \n",
       "243 AC1387 180213        PERAH12199  Peru       NA             NA         \n",
       "246 AC1388 180213        PERAH12200  Peru       NA             NA         \n",
       "249 AC1389 180213        VIERS12201  Vietnam    NA             NA         \n",
       "252 AC1394 180213        GUALH12206  Guatemala  NA             NA         \n",
       "255 AC1395 180213        GUALH12207  Guatemala  NA             NA         \n",
       "261 AC1404 190313        GUAAH12213  Guatemala  NA             NA         \n",
       "264 AC1405 190313        GUAAH12214  Guatemala  NA             NA         \n",
       "267 AC1406 190313        BRAA?12215  Brazil     NA             NA         \n",
       "270 AC1407 190313        PERAH12216  Peru       NA             NA         \n",
       "273 AC1409 190313        CRIAH12218  Costa Rica NA             NA         \n",
       "276 AC1412 190313        PERAH12221  Peru       NA             NA         \n",
       "279 AC1413 190313        GUAAH12222  Guatemala  NA             NA         \n",
       "288 AC1421 90413         GUAAH12231  Guatemala  NA             NA         \n",
       "291 AC1424 90413         CRIAH12234  Costa Rica NA             NA         \n",
       "297 AC1428 90413         PERAH13239  Peru       NA             NA         \n",
       "303 AC1432 90413         GUAAH13236  Guatemala  NA             NA         \n",
       "306 AC1436 150413        CPOAH13245  Colombia   Cauca          Popayan    \n",
       "309 AC1437 150413        CINAH13246  Colombia   Cauca          Inza       \n",
       "    species               composition presentation                      \n",
       "1   Robusta               100         tostado molido y verde molido     \n",
       "4   Robusta               100         tostado molido y verde molido     \n",
       "7   Robusta               100         tostado molido y verde molido     \n",
       "10  Robusta               100         tostado molido y verde molido     \n",
       "13  Robusta               100         tostado molido y verde molido     \n",
       "16  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "22  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "25  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "28  Arabica                 0         verde molido y tostado molido fino\n",
       "37  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "40  Arabica                 0         verde molido y tostado molido fino\n",
       "43  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "46  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "52  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "58  100% ARABICA COLOMBIA   0         verde molido                      \n",
       "61  Arabica                 0         verde molido y tostado molido fino\n",
       "64  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "67  100% ARABICA COLOMBIA   0         tostado molido y verde molido     \n",
       "76  Robusta               100         verde molido y tostado molido fino\n",
       "79  100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "85  100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "88  100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "91  100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "94  100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "97  Robusta               100         verde molido y tostado molido fino\n",
       "100 Robusta               100         verde molido y tostado molido fino\n",
       "103 Robusta               100         verde molido y tostado molido fino\n",
       "106 Robusta               100         verde molido y tostado molido fino\n",
       "109 Robusta               100         verde molido y tostado molido fino\n",
       "112 Robusta               100         verde molido y tostado molido fino\n",
       "⋮   ⋮                     ⋮           ⋮                                 \n",
       "201 Arabica                 0         verde molido y tostado molido fino\n",
       "204 Arabica                 0         verde molido y tostado molido fino\n",
       "207 Arabica                 0         verde molido y tostado molido fino\n",
       "210 100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "213 100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "216 100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "219 100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "222 100% ARABICA COLOMBIA   0         verde molido y tostado molido fino\n",
       "225 Arabica                 0         tostado molido fino               \n",
       "231 Arabica                 0         tostado molido fino               \n",
       "234 Arabica                 0         tostado molido fino               \n",
       "240 Arabica                 0         tostado molido fino               \n",
       "243 Arabica                 0         tostado molido fino               \n",
       "246 Arabica                 0         tostado molido fino               \n",
       "249 Robusta               100         tostado molido fino               \n",
       "252 Arabica                 0         tostado molido fino               \n",
       "255 Arabica                 0         tostado molido fino               \n",
       "261 Arabica                 0         tostado molido fino               \n",
       "264 Arabica                 0         tostado molido fino               \n",
       "267 Arabica                 0         tostado molido fino               \n",
       "270 Arabica                 0         tostado molido fino               \n",
       "273 Arabica                 0         tostado molido fino               \n",
       "276 Arabica                 0         tostado molido fino               \n",
       "279 Arabica                 0         tostado molido fino               \n",
       "288 Arabica                 0         tostado molido fino               \n",
       "291 Arabica                 0         tostado molido fino               \n",
       "297 Arabica                 0         tostado molido fino               \n",
       "303 Arabica                 0         tostado molido fino               \n",
       "306 100% ARABICA COLOMBIA   0         tostado molido fino               \n",
       "309 100% ARABICA COLOMBIA   0         tostado molido fino               \n",
       "    beneficioType ⋯ fermentationType drying dryingTime certification\n",
       "1   unknown       ⋯ NA               NA     NA         NA           \n",
       "4   unknown       ⋯ NA               NA     NA         NA           \n",
       "7   unknown       ⋯ NA               NA     NA         NA           \n",
       "10  unknown       ⋯ NA               NA     NA         NA           \n",
       "13  unknown       ⋯ NA               NA     NA         NA           \n",
       "16  h             ⋯ NA               NA     NA         NA           \n",
       "22  h             ⋯ NA               NA     NA         NA           \n",
       "25  h             ⋯ NA               NA     NA         NA           \n",
       "28  s             ⋯ NA               NA     NA         NA           \n",
       "37  h             ⋯ NA               NA     NA         NA           \n",
       "40  s             ⋯ NA               NA     NA         NA           \n",
       "43  h             ⋯ NA               NA     NA         NA           \n",
       "46  h             ⋯ NA               NA     NA         NA           \n",
       "52  h             ⋯ NA               NA     NA         NA           \n",
       "58  h             ⋯ NA               NA     NA         NA           \n",
       "61  s             ⋯ NA               NA     NA         NA           \n",
       "64  h             ⋯ NA               NA     NA         NA           \n",
       "67  h             ⋯ NA               NA     NA         NA           \n",
       "76  s             ⋯ NA               NA     NA         NA           \n",
       "79  h             ⋯ NA               NA     NA         NA           \n",
       "85  h             ⋯ NA               NA     NA         NA           \n",
       "88  h             ⋯ NA               NA     NA         NA           \n",
       "91  h             ⋯ NA               NA     NA         NA           \n",
       "94  h             ⋯ NA               NA     NA         NA           \n",
       "97  s             ⋯ NA               NA     NA         NA           \n",
       "100 s             ⋯ NA               NA     NA         NA           \n",
       "103 s             ⋯ NA               NA     NA         NA           \n",
       "106 h             ⋯ NA               NA     NA         NA           \n",
       "109 s             ⋯ NA               NA     NA         NA           \n",
       "112 s             ⋯ NA               NA     NA         NA           \n",
       "⋮   ⋮             ⋱ ⋮                ⋮      ⋮          ⋮            \n",
       "201 h             ⋯ NA               NA     NA         NA           \n",
       "204 h             ⋯ NA               NA     NA         NA           \n",
       "207 h             ⋯ NA               NA     NA         NA           \n",
       "210 h             ⋯ NA               NA     NA         NA           \n",
       "213 h             ⋯ NA               NA     NA         NA           \n",
       "216 h             ⋯ NA               NA     NA         NA           \n",
       "219 h             ⋯ NA               NA     NA         NA           \n",
       "222 h             ⋯ NA               NA     NA         NA           \n",
       "225 unknown       ⋯ NA               NA     NA         NA           \n",
       "231 h             ⋯ NA               NA     NA         NA           \n",
       "234 h             ⋯ NA               NA     NA         NA           \n",
       "240 h             ⋯ NA               NA     NA         NA           \n",
       "243 h             ⋯ NA               NA     NA         NA           \n",
       "246 h             ⋯ NA               NA     NA         NA           \n",
       "249 s             ⋯ NA               NA     NA         NA           \n",
       "252 h             ⋯ NA               NA     NA         NA           \n",
       "255 h             ⋯ NA               NA     NA         NA           \n",
       "261 h             ⋯ NA               NA     NA         NA           \n",
       "264 h             ⋯ NA               NA     NA         NA           \n",
       "267 unknown       ⋯ NA               NA     NA         NA           \n",
       "270 h             ⋯ NA               NA     NA         NA           \n",
       "273 h             ⋯ NA               NA     NA         NA           \n",
       "276 h             ⋯ NA               NA     NA         NA           \n",
       "279 h             ⋯ NA               NA     NA         NA           \n",
       "288 h             ⋯ NA               NA     NA         NA           \n",
       "291 h             ⋯ NA               NA     NA         NA           \n",
       "297 h             ⋯ NA               NA     NA         NA           \n",
       "303 h             ⋯ NA               NA     NA         NA           \n",
       "306 h             ⋯ NA               NA     NA         NA           \n",
       "309 h             ⋯ NA               NA     NA         NA           \n",
       "    certificationType color Temp.roasting X.Humidity.Sinar species1 groups  \n",
       "1   NA                NA    NA            NA               -1       Robusta \n",
       "4   NA                NA    NA            NA               -1       Robusta \n",
       "7   NA                NA    NA            NA               -1       Robusta \n",
       "10  NA                NA    NA            NA               -1       Robusta \n",
       "13  NA                NA    NA            NA               -1       Robusta \n",
       "16  NA                NA    NA            NA               1        Colombia\n",
       "22  NA                NA    NA            NA               1        Colombia\n",
       "25  NA                NA    NA            NA               1        Colombia\n",
       "28  NA                NA    NA            NA               1        Brazil  \n",
       "37  NA                NA    NA            NA               1        Colombia\n",
       "40  NA                NA    NA            NA               1        Brazil  \n",
       "43  NA                NA    NA            NA               1        Colombia\n",
       "46  NA                NA    NA            NA               1        Colombia\n",
       "52  NA                NA    NA            NA               1        Colombia\n",
       "58  NA                NA    NA            NA               1        Colombia\n",
       "61  NA                NA    NA            NA               1        Brazil  \n",
       "64  NA                NA    NA            NA               1        Colombia\n",
       "67  NA                NA    NA            NA               1        Colombia\n",
       "76  NA                NA    NA            NA               -1       Robusta \n",
       "79  NA                NA    NA            NA               1        Colombia\n",
       "85  NA                NA    NA            NA               1        Colombia\n",
       "88  NA                NA    NA            NA               1        Colombia\n",
       "91  NA                NA    NA            NA               1        Colombia\n",
       "94  NA                NA    NA            NA               1        Colombia\n",
       "97  NA                NA    NA            NA               -1       Robusta \n",
       "100 NA                NA    NA            NA               -1       Robusta \n",
       "103 NA                NA    NA            NA               -1       Robusta \n",
       "106 NA                NA    NA            NA               -1       Robusta \n",
       "109 NA                NA    NA            NA               -1       Robusta \n",
       "112 NA                NA    NA            NA               -1       Robusta \n",
       "⋮   ⋮                 ⋮     ⋮             ⋮                ⋮        ⋮       \n",
       "201 NA                NA    NA            NA               1        Others  \n",
       "204 NA                NA    NA            NA               1        Others  \n",
       "207 NA                NA    NA            NA               1        Others  \n",
       "210 NA                NA    NA            NA               1        Colombia\n",
       "213 NA                NA    NA            NA               1        Colombia\n",
       "216 NA                NA    NA            NA               1        Colombia\n",
       "219 NA                NA    NA            NA               1        Colombia\n",
       "222 NA                NA    NA            NA               1        Colombia\n",
       "225 NA                NA    NA            NA               1        Brazil  \n",
       "231 NA                NA    NA            NA               1        Peru    \n",
       "234 NA                NA    NA            NA               1        Others  \n",
       "240 NA                NA    NA            NA               1        Others  \n",
       "243 NA                NA    NA            NA               1        Peru    \n",
       "246 NA                NA    NA            NA               1        Peru    \n",
       "249 NA                NA    NA            NA               -1       Robusta \n",
       "252 NA                NA    NA            NA               1        Others  \n",
       "255 NA                NA    NA            NA               1        Others  \n",
       "261 NA                NA    NA            NA               1        Others  \n",
       "264 NA                NA    NA            NA               1        Others  \n",
       "267 NA                NA    NA            NA               1        Brazil  \n",
       "270 NA                NA    NA            NA               1        Peru    \n",
       "273 NA                NA    NA            NA               1        Others  \n",
       "276 NA                NA    NA            NA               1        Peru    \n",
       "279 NA                NA    NA            NA               1        Others  \n",
       "288 NA                NA    NA            NA               1        Others  \n",
       "291 NA                NA    NA            NA               1        Others  \n",
       "297 NA                NA    NA            NA               1        Peru    \n",
       "303 NA                NA    NA            NA               1        Others  \n",
       "306 NA                NA    NA            NA               1        Colombia\n",
       "309 NA                NA    NA            NA               1        Colombia"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "allIRs$metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Robusta</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>Arabica</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "\t<li>100% ARABICA COLOMBIA</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Robusta\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Arabica\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Robusta\n",
       "\\item Robusta\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Robusta\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Robusta\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item Arabica\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\item 100\\% ARABICA COLOMBIA\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. Robusta\n",
       "2. Robusta\n",
       "3. Robusta\n",
       "4. Robusta\n",
       "5. Robusta\n",
       "6. 100% ARABICA COLOMBIA\n",
       "7. 100% ARABICA COLOMBIA\n",
       "8. 100% ARABICA COLOMBIA\n",
       "9. Arabica\n",
       "10. 100% ARABICA COLOMBIA\n",
       "11. Arabica\n",
       "12. 100% ARABICA COLOMBIA\n",
       "13. 100% ARABICA COLOMBIA\n",
       "14. 100% ARABICA COLOMBIA\n",
       "15. 100% ARABICA COLOMBIA\n",
       "16. Arabica\n",
       "17. 100% ARABICA COLOMBIA\n",
       "18. 100% ARABICA COLOMBIA\n",
       "19. Robusta\n",
       "20. 100% ARABICA COLOMBIA\n",
       "21. 100% ARABICA COLOMBIA\n",
       "22. 100% ARABICA COLOMBIA\n",
       "23. 100% ARABICA COLOMBIA\n",
       "24. 100% ARABICA COLOMBIA\n",
       "25. Robusta\n",
       "26. Robusta\n",
       "27. Robusta\n",
       "28. Robusta\n",
       "29. Robusta\n",
       "30. Robusta\n",
       "31. Arabica\n",
       "32. Robusta\n",
       "33. Robusta\n",
       "34. Robusta\n",
       "35. Arabica\n",
       "36. Arabica\n",
       "37. Arabica\n",
       "38. 100% ARABICA COLOMBIA\n",
       "39. 100% ARABICA COLOMBIA\n",
       "40. 100% ARABICA COLOMBIA\n",
       "41. 100% ARABICA COLOMBIA\n",
       "42. 100% ARABICA COLOMBIA\n",
       "43. 100% ARABICA COLOMBIA\n",
       "44. 100% ARABICA COLOMBIA\n",
       "45. 100% ARABICA COLOMBIA\n",
       "46. Arabica\n",
       "47. Arabica\n",
       "48. Arabica\n",
       "49. Arabica\n",
       "50. Robusta\n",
       "51. Robusta\n",
       "52. Arabica\n",
       "53. Arabica\n",
       "54. Robusta\n",
       "55. Arabica\n",
       "56. Arabica\n",
       "57. Arabica\n",
       "58. Arabica\n",
       "59. 100% ARABICA COLOMBIA\n",
       "60. 100% ARABICA COLOMBIA\n",
       "61. 100% ARABICA COLOMBIA\n",
       "62. 100% ARABICA COLOMBIA\n",
       "63. 100% ARABICA COLOMBIA\n",
       "64. Arabica\n",
       "65. Arabica\n",
       "66. Arabica\n",
       "67. Arabica\n",
       "68. Arabica\n",
       "69. Arabica\n",
       "70. Robusta\n",
       "71. Arabica\n",
       "72. Arabica\n",
       "73. Arabica\n",
       "74. Arabica\n",
       "75. Arabica\n",
       "76. Arabica\n",
       "77. Arabica\n",
       "78. Arabica\n",
       "79. Arabica\n",
       "80. Arabica\n",
       "81. Arabica\n",
       "82. Arabica\n",
       "83. Arabica\n",
       "84. 100% ARABICA COLOMBIA\n",
       "85. 100% ARABICA COLOMBIA\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] Robusta               Robusta               Robusta              \n",
       " [4] Robusta               Robusta               100% ARABICA COLOMBIA\n",
       " [7] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA Arabica              \n",
       "[10] 100% ARABICA COLOMBIA Arabica               100% ARABICA COLOMBIA\n",
       "[13] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[16] Arabica               100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[19] Robusta               100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[22] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[25] Robusta               Robusta               Robusta              \n",
       "[28] Robusta               Robusta               Robusta              \n",
       "[31] Arabica               Robusta               Robusta              \n",
       "[34] Robusta               Arabica               Arabica              \n",
       "[37] Arabica               100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[40] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[43] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[46] Arabica               Arabica               Arabica              \n",
       "[49] Arabica               Robusta               Robusta              \n",
       "[52] Arabica               Arabica               Robusta              \n",
       "[55] Arabica               Arabica               Arabica              \n",
       "[58] Arabica               100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[61] 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA 100% ARABICA COLOMBIA\n",
       "[64] Arabica               Arabica               Arabica              \n",
       "[67] Arabica               Arabica               Arabica              \n",
       "[70] Robusta               Arabica               Arabica              \n",
       "[73] Arabica               Arabica               Arabica              \n",
       "[76] Arabica               Arabica               Arabica              \n",
       "[79] Arabica               Arabica               Arabica              \n",
       "[82] Arabica               Arabica               100% ARABICA COLOMBIA\n",
       "[85] 100% ARABICA COLOMBIA\n",
       "Levels: 100% ARABICA COLOMBIA Arabica Robusta"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "allIRs$metadata$species"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\t<li>FALSE</li>\n",
       "\t<li>FALSE</li>\n",
       "\t<li>FALSE</li>\n",
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       "\t<li>FALSE</li>\n",
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      "text/latex": [
       "\\begin{enumerate*}\n",
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       "\\item FALSE\n",
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       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\item FALSE\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. FALSE\n",
       "2. FALSE\n",
       "3. FALSE\n",
       "4. FALSE\n",
       "5. FALSE\n",
       "6. FALSE\n",
       "7. FALSE\n",
       "8. FALSE\n",
       "9. FALSE\n",
       "10. FALSE\n",
       "11. FALSE\n",
       "12. FALSE\n",
       "13. FALSE\n",
       "14. FALSE\n",
       "15. FALSE\n",
       "16. FALSE\n",
       "17. FALSE\n",
       "18. FALSE\n",
       "19. FALSE\n",
       "20. FALSE\n",
       "21. FALSE\n",
       "22. FALSE\n",
       "23. FALSE\n",
       "24. FALSE\n",
       "25. FALSE\n",
       "26. FALSE\n",
       "27. FALSE\n",
       "28. FALSE\n",
       "29. FALSE\n",
       "30. FALSE\n",
       "31. FALSE\n",
       "32. FALSE\n",
       "33. FALSE\n",
       "34. FALSE\n",
       "35. FALSE\n",
       "36. FALSE\n",
       "37. FALSE\n",
       "38. FALSE\n",
       "39. FALSE\n",
       "40. FALSE\n",
       "41. FALSE\n",
       "42. FALSE\n",
       "43. FALSE\n",
       "44. FALSE\n",
       "45. FALSE\n",
       "46. FALSE\n",
       "47. FALSE\n",
       "48. FALSE\n",
       "49. FALSE\n",
       "50. FALSE\n",
       "51. FALSE\n",
       "52. FALSE\n",
       "53. FALSE\n",
       "54. FALSE\n",
       "55. FALSE\n",
       "56. FALSE\n",
       "57. FALSE\n",
       "58. FALSE\n",
       "59. FALSE\n",
       "60. FALSE\n",
       "61. FALSE\n",
       "62. FALSE\n",
       "63. FALSE\n",
       "64. FALSE\n",
       "65. FALSE\n",
       "66. FALSE\n",
       "67. FALSE\n",
       "68. FALSE\n",
       "69. FALSE\n",
       "70. FALSE\n",
       "71. FALSE\n",
       "72. FALSE\n",
       "73. FALSE\n",
       "74. FALSE\n",
       "75. FALSE\n",
       "76. FALSE\n",
       "77. FALSE\n",
       "78. FALSE\n",
       "79. FALSE\n",
       "80. FALSE\n",
       "81. FALSE\n",
       "82. FALSE\n",
       "83. FALSE\n",
       "84. FALSE\n",
       "85. FALSE\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[73] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE\n",
       "[85] FALSE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "duplicated(allIRs$metadata$ID)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "save colors by groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "levels(allIRs$metadata$species) <- c(1,2,3)\n",
    "groupColors = factor(allIRs$metadata$species)\n",
    "levels(allIRs$metadata$species) <- c(\"AC\", \"A\", \"R\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Rk6NNTjMW/eTF4eubkkJnLnnbz3HpGR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\n69gh8isKD5C6kguO8PhWbCf/Aa/tlnaZqQwhqgJVr5tiGjwGHGZ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gwbU/WVqL5jrMGtCyy/YuygSlWW14isCcgXGEMfYq26s9rTPOM3Vc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u6ALBuegZxjkLAtftWpyOQIydDyAWrvkgcIk+p9AAACAASURBVN2XH4rRzuZO/EmD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\nJjFnzpwpnjRvHx8f7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96omd2xoY2Klo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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplot(t(allIRs$ir), type='l', col=groupColors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### defining a few functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "Deriv1 <- function(x,y)\n",
    "{\n",
    "  y.prime <- diff(y) / diff(x)\n",
    "  x.prime <- x[-length(x)] + diff(x)/2\n",
    "  list(shift = x.prime,\n",
    "       intensity = y.prime)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function for computation of second derivative\n",
    "Deriv2 <- function(x,y)\n",
    "{\n",
    "  h <- x[2] - x[1]\n",
    "  Range <- 2:(length(x)-1)  # Drop first and last points\n",
    "  list(shift = x[Range],\n",
    "       intensity = (y[Range+1] - 2*y[Range] + y[Range-1]) / h^2)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.with.error.bars <- function(x, matrix, col = \"black\",\n",
    "                                 ylim = range(c(apply(matrix, 2, mean) - apply(matrix, 2, sd),\n",
    "                                                apply(matrix, 2, mean) + apply(matrix, 2, sd))), ...){\n",
    "  avg <- apply(matrix,2,mean)\n",
    "  sdev <- apply(matrix,2,sd)\n",
    "  plot(x, avg, col = col, ylim = ylim, ...)\n",
    "  arrows(x, avg - sdev, x, avg + sdev, length=0.05, angle=90, code=3, col = col)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "osc.lims <- function(predictors, responses, nComp, accuracy = 1e-5, maxit = 100){\n",
    "   \n",
    "  X<-as.matrix(predictors)\n",
    "  Y<-as.matrix(responses)\n",
    "  ###Create output arrays\n",
    "  xscores <- c()\n",
    "  yscores <- c()\n",
    "  xweights <- c()\n",
    "  xloadings <- c()\n",
    "  yweights <- c()\n",
    "  B <- c()\n",
    "  coefficients <- array(0, c(dim(X)[2], dim(Y)[2], nComp));\n",
    "  \n",
    "  ###Variables for loop control\n",
    "  iterations <- c();\n",
    "  deltas <- c();\n",
    "  \n",
    "  #if (dim(Y)[2] == 1){\n",
    "  #  maxit <- 1;\n",
    "  #}\n",
    "  \n",
    "  ###loop on components (aka latent variables)\n",
    "  for (j in 1:nComp) {\n",
    "    u <- matrix(Y[,1],ncol=1) #/ sqrt(sum(Y * Y)); #initial guess for Y score #/ sqrt(sum(Y * Y)) is apparently not necessary, double check\n",
    "    \n",
    "    delta = 1000000;\n",
    "    lastt = NULL;\n",
    "    iteration = 0;\n",
    "    \n",
    "    while (delta > accuracy && iteration < maxit){\n",
    "      iteration = iteration + 1\n",
    "      t=prcomp(X,scale=FALSE,center=FALSE)$x\n",
    "      tnew = 1 -  (Y%*%solve(t(Y)%*%(Y))%*%t(Y))%*%t  \n",
    "      w = ginv(X) %*% tnew # / c(crossprod(u)); # X weight is X transposed projected on y score# denominator is unnecessary since we normalize next\n",
    "      t = (X %*% w) #/ c(crossprod(w));\n",
    "      \n",
    "      p = t(t(t)%*%X) %*% (ginv(t%*%tnew))\n",
    "      \n",
    "      if (!is.null(lastt)){\n",
    "        delta = sqrt(c(crossprod(t - lastt)));\n",
    "      }\n",
    "      lastt = t;\n",
    "    }\n",
    "    \n",
    "    iterations = c(iterations, iteration);\n",
    "    deltas = c(deltas, delta);\n",
    "    \n",
    "    ##Save current component results        \n",
    "    xweights = cbind(xweights, w);\n",
    "    xscores = cbind(xscores, t);\n",
    "    xloadings = cbind(xloadings, p);\n",
    "    #B = c(B,b);\n",
    "    #coefficients[,,j] = ginv(t(xloadings)) %*% (B * t(yweights));\n",
    "    \n",
    "    ##Deflate\n",
    "    E = X- t%*%t(p)\n",
    "  }\n",
    "\n",
    "  ###return results\n",
    "  result <- list(\"xweights\" = xweights,\"xscores\" = xscores,\n",
    "                 \"xloadings\" = xloadings, \"X\"=E,\"iterations\" = iterations, \"deltas\" = deltas);\n",
    "  \n",
    "  ### results is of a class for multivariate regression models (testing)\n",
    "  class(result) = \"model\";\n",
    "  result;\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "osc <- osc.lims(as.matrix(allIRs$ir), as.matrix(as.numeric(allIRs$metadata$species)), nComp=2, accuracy = 1e-5, maxit = 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y <- as.matrix(as.numeric(allIRs$metadata$species))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tbody>\n",
       "\t<tr><td>0.002898551</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{l}\n",
       "\t 0.002898551\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| 0.002898551 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "     [,1]       \n",
       "[1,] 0.002898551"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "solve(t(Y)%*%(Y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
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       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋱</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.026086957</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.017391304</td><td>0.008695652</td><td>⋯          </td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.008695652</td><td>0.008695652</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.017391304</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.011594203</td><td>0.005797101</td><td>⋯          </td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.011594203</td><td>0.005797101</td><td>0.005797101</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "\t<tr><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.008695652</td><td>0.002898551</td><td>0.002898551</td><td>0.002898551</td><td>0.005797101</td><td>0.002898551</td><td>⋯          </td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.005797101</td><td>0.002898551</td><td>0.002898551</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.026086957 & 0.008695652 & 0.008695652 & 0.008695652 & 0.017391304 & 0.008695652 & ⋯           & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.008695652 & 0.008695652\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.017391304 & 0.005797101 & 0.005797101 & 0.005797101 & 0.011594203 & 0.005797101 & ⋯           & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.011594203 & 0.005797101 & 0.005797101\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\t 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.008695652 & 0.002898551 & 0.002898551 & 0.002898551 & 0.005797101 & 0.002898551 & ⋯           & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.005797101 & 0.002898551 & 0.002898551\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.026086957 | 0.008695652 | 0.008695652 | 0.008695652 | 0.017391304 | 0.008695652 | ⋯           | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.008695652 | 0.008695652 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.017391304 | 0.005797101 | 0.005797101 | 0.005797101 | 0.011594203 | 0.005797101 | ⋯           | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.011594203 | 0.005797101 | 0.005797101 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "| 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.008695652 | 0.002898551 | 0.002898551 | 0.002898551 | 0.005797101 | 0.002898551 | ⋯           | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.005797101 | 0.002898551 | 0.002898551 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "      [,1]        [,2]        [,3]        [,4]        [,5]        [,6]       \n",
       " [1,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       " [2,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       " [3,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       " [4,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       " [5,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       " [6,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       " [7,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       " [8,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       " [9,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[10,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[11,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[12,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[13,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[14,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[15,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[16,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[17,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[18,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[19,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[20,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[21,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[22,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[23,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[24,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[25,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[26,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[27,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[28,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[29,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[30,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[31,] ⋮           ⋮           ⋮           ⋮           ⋮           ⋮          \n",
       "[32,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[33,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[34,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[35,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[36,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[37,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[38,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[39,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[40,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[41,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[42,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[43,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[44,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[45,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[46,] 0.026086957 0.026086957 0.026086957 0.026086957 0.026086957 0.008695652\n",
       "[47,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[48,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[49,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[50,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[51,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[52,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[53,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[54,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[55,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[56,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[57,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[58,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[59,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.005797101\n",
       "[60,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "[61,] 0.008695652 0.008695652 0.008695652 0.008695652 0.008695652 0.002898551\n",
       "      [,7]        [,8]        [,9]        [,10]       [,11] [,12]      \n",
       " [1,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       " [2,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       " [3,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       " [4,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       " [5,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       " [6,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       " [7,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       " [8,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       " [9,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[10,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[11,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[12,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[13,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[14,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[15,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[16,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[17,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[18,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[19,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[20,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[21,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[22,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[23,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[24,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[25,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[26,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[27,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[28,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[29,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[30,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[31,] ⋮           ⋮           ⋮           ⋮           ⋱     ⋮          \n",
       "[32,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[33,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[34,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[35,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[36,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[37,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[38,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[39,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[40,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[41,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[42,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[43,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[44,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[45,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[46,] 0.008695652 0.008695652 0.017391304 0.008695652 ⋯     0.017391304\n",
       "[47,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[48,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[49,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[50,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[51,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[52,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[53,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[54,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[55,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[56,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[57,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[58,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[59,] 0.005797101 0.005797101 0.011594203 0.005797101 ⋯     0.011594203\n",
       "[60,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "[61,] 0.002898551 0.002898551 0.005797101 0.002898551 ⋯     0.005797101\n",
       "      [,13]       [,14]       [,15]       [,16]       [,17]       [,18]      \n",
       " [1,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       " [2,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       " [3,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       " [4,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       " [5,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       " [6,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       " [7,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       " [8,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       " [9,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[10,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[11,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[12,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[13,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[14,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[15,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[16,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[17,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[18,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[19,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[20,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[21,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[22,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[23,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[24,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[25,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[26,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[27,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[28,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[29,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[30,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[31,] ⋮           ⋮           ⋮           ⋮           ⋮           ⋮          \n",
       "[32,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[33,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[34,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[35,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[36,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[37,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[38,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[39,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[40,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[41,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[42,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[43,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[44,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[45,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[46,] 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304 0.017391304\n",
       "[47,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[48,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[49,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[50,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[51,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[52,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[53,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[54,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[55,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[56,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[57,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[58,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[59,] 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203 0.011594203\n",
       "[60,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "[61,] 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101 0.005797101\n",
       "      [,19]       [,20]       [,21]      \n",
       " [1,] 0.017391304 0.008695652 0.008695652\n",
       " [2,] 0.017391304 0.008695652 0.008695652\n",
       " [3,] 0.017391304 0.008695652 0.008695652\n",
       " [4,] 0.017391304 0.008695652 0.008695652\n",
       " [5,] 0.017391304 0.008695652 0.008695652\n",
       " [6,] 0.005797101 0.002898551 0.002898551\n",
       " [7,] 0.005797101 0.002898551 0.002898551\n",
       " [8,] 0.005797101 0.002898551 0.002898551\n",
       " [9,] 0.011594203 0.005797101 0.005797101\n",
       "[10,] 0.005797101 0.002898551 0.002898551\n",
       "[11,] 0.011594203 0.005797101 0.005797101\n",
       "[12,] 0.005797101 0.002898551 0.002898551\n",
       "[13,] 0.005797101 0.002898551 0.002898551\n",
       "[14,] 0.005797101 0.002898551 0.002898551\n",
       "[15,] 0.005797101 0.002898551 0.002898551\n",
       "[16,] 0.011594203 0.005797101 0.005797101\n",
       "[17,] 0.005797101 0.002898551 0.002898551\n",
       "[18,] 0.005797101 0.002898551 0.002898551\n",
       "[19,] 0.017391304 0.008695652 0.008695652\n",
       "[20,] 0.005797101 0.002898551 0.002898551\n",
       "[21,] 0.005797101 0.002898551 0.002898551\n",
       "[22,] 0.005797101 0.002898551 0.002898551\n",
       "[23,] 0.005797101 0.002898551 0.002898551\n",
       "[24,] 0.005797101 0.002898551 0.002898551\n",
       "[25,] 0.017391304 0.008695652 0.008695652\n",
       "[26,] 0.017391304 0.008695652 0.008695652\n",
       "[27,] 0.017391304 0.008695652 0.008695652\n",
       "[28,] 0.017391304 0.008695652 0.008695652\n",
       "[29,] 0.017391304 0.008695652 0.008695652\n",
       "[30,] 0.017391304 0.008695652 0.008695652\n",
       "[31,] ⋮           ⋮           ⋮          \n",
       "[32,] 0.011594203 0.005797101 0.005797101\n",
       "[33,] 0.011594203 0.005797101 0.005797101\n",
       "[34,] 0.011594203 0.005797101 0.005797101\n",
       "[35,] 0.005797101 0.002898551 0.002898551\n",
       "[36,] 0.005797101 0.002898551 0.002898551\n",
       "[37,] 0.005797101 0.002898551 0.002898551\n",
       "[38,] 0.005797101 0.002898551 0.002898551\n",
       "[39,] 0.005797101 0.002898551 0.002898551\n",
       "[40,] 0.011594203 0.005797101 0.005797101\n",
       "[41,] 0.011594203 0.005797101 0.005797101\n",
       "[42,] 0.011594203 0.005797101 0.005797101\n",
       "[43,] 0.011594203 0.005797101 0.005797101\n",
       "[44,] 0.011594203 0.005797101 0.005797101\n",
       "[45,] 0.011594203 0.005797101 0.005797101\n",
       "[46,] 0.017391304 0.008695652 0.008695652\n",
       "[47,] 0.011594203 0.005797101 0.005797101\n",
       "[48,] 0.011594203 0.005797101 0.005797101\n",
       "[49,] 0.011594203 0.005797101 0.005797101\n",
       "[50,] 0.011594203 0.005797101 0.005797101\n",
       "[51,] 0.011594203 0.005797101 0.005797101\n",
       "[52,] 0.011594203 0.005797101 0.005797101\n",
       "[53,] 0.011594203 0.005797101 0.005797101\n",
       "[54,] 0.011594203 0.005797101 0.005797101\n",
       "[55,] 0.011594203 0.005797101 0.005797101\n",
       "[56,] 0.011594203 0.005797101 0.005797101\n",
       "[57,] 0.011594203 0.005797101 0.005797101\n",
       "[58,] 0.011594203 0.005797101 0.005797101\n",
       "[59,] 0.011594203 0.005797101 0.005797101\n",
       "[60,] 0.005797101 0.002898551 0.002898551\n",
       "[61,] 0.005797101 0.002898551 0.002898551"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(Y%*%solve(t(Y)%*%(Y))%*%t(Y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "           Length Class  Mode   \n",
       "xweights   176290 -none- numeric\n",
       "xscores     14450 -none- numeric\n",
       "xloadings  176290 -none- numeric\n",
       "X           88145 AsIs   numeric\n",
       "iterations      2 -none- numeric\n",
       "deltas      14450 -none- numeric"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(osc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>85</li>\n",
       "\t<li>170</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 85\n",
       "\\item 170\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 85\n",
       "2. 170\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1]  85 170"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(osc$xscores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HjEiBHffvttt27dTFnkb3bt2iUikZGR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\nDf4/MPWihbR3ojwAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(osc$xscores[,1], osc$xscores[,2], col=groupColors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>1037</li>\n",
       "\t<li>170</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 1037\n",
       "\\item 170\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 1037\n",
       "2. 170\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 1037  170"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(osc$xloadings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ycS6DnNc3/n/J2lzyIiFVNV4ao85fPU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\nAEPcpOJwIy6vmwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplot(osc$xloadings, type='l', col=groupColors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fv2DVLEmI9ko9HIZrMdHBx4PJ5cLpdKpfQZUWVlZW1trUajqauro/cI62weFJfL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\n2m7l1rtL7/5D6x8SM3UHd7hNbk/ME9JDRGSQEc81BQu3aIYm3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sT0WGIB8f/arrVDPx36xsg3pjmmffuaAB0zCbQ4LRsI47eyMsE24S3v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\nHwK8aODQcgU8AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplot(t(osc$X), type='l', col=groupColors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>R</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>A</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>R</li>\n",
       "\t<li>R</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>R</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>R</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>A</li>\n",
       "\t<li>AC</li>\n",
       "\t<li>AC</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item R\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item A\n",
       "\\item R\n",
       "\\item R\n",
       "\\item R\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item R\n",
       "\\item R\n",
       "\\item A\n",
       "\\item A\n",
       "\\item R\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item R\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item A\n",
       "\\item AC\n",
       "\\item AC\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. R\n",
       "2. R\n",
       "3. R\n",
       "4. R\n",
       "5. R\n",
       "6. AC\n",
       "7. AC\n",
       "8. AC\n",
       "9. A\n",
       "10. AC\n",
       "11. A\n",
       "12. AC\n",
       "13. AC\n",
       "14. AC\n",
       "15. AC\n",
       "16. A\n",
       "17. AC\n",
       "18. AC\n",
       "19. R\n",
       "20. AC\n",
       "21. AC\n",
       "22. AC\n",
       "23. AC\n",
       "24. AC\n",
       "25. R\n",
       "26. R\n",
       "27. R\n",
       "28. R\n",
       "29. R\n",
       "30. R\n",
       "31. A\n",
       "32. R\n",
       "33. R\n",
       "34. R\n",
       "35. A\n",
       "36. A\n",
       "37. A\n",
       "38. AC\n",
       "39. AC\n",
       "40. AC\n",
       "41. AC\n",
       "42. AC\n",
       "43. AC\n",
       "44. AC\n",
       "45. AC\n",
       "46. A\n",
       "47. A\n",
       "48. A\n",
       "49. A\n",
       "50. R\n",
       "51. R\n",
       "52. A\n",
       "53. A\n",
       "54. R\n",
       "55. A\n",
       "56. A\n",
       "57. A\n",
       "58. A\n",
       "59. AC\n",
       "60. AC\n",
       "61. AC\n",
       "62. AC\n",
       "63. AC\n",
       "64. A\n",
       "65. A\n",
       "66. A\n",
       "67. A\n",
       "68. A\n",
       "69. A\n",
       "70. R\n",
       "71. A\n",
       "72. A\n",
       "73. A\n",
       "74. A\n",
       "75. A\n",
       "76. A\n",
       "77. A\n",
       "78. A\n",
       "79. A\n",
       "80. A\n",
       "81. A\n",
       "82. A\n",
       "83. A\n",
       "84. AC\n",
       "85. AC\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] R  R  R  R  R  AC AC AC A  AC A  AC AC AC AC A  AC AC R  AC AC AC AC AC R \n",
       "[26] R  R  R  R  R  A  R  R  R  A  A  A  AC AC AC AC AC AC AC AC A  A  A  A  R \n",
       "[51] R  A  A  R  A  A  A  A  AC AC AC AC AC A  A  A  A  A  A  R  A  A  A  A  A \n",
       "[76] A  A  A  A  A  A  A  A  AC AC\n",
       "Levels: AC A R"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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