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CHANGELOG.md

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Change Log

[1.2.1] - 2016-11-10

Changed

  • [README.md] line 62-63: * __dataLog:__ csv formatted values expressed as _n_@_y_ for a _n_-th sampling result: _y_ with top left corner as origin.
    * __*x*@*f(x)*:__ csv formatted values expressed as _x_@_f_ (_x_) for a value of _f_ (_x_) at _x_ with bottom left as origin.

Added

  • [README.md] line 124-125: ##\[1.2+\] Library list
    * bootstrapEst-2.1/bootstrapMdl.js (Yuji SODE,2016): the MIT License; https://github.com/YujiSODE/bootstrapEst

[1.2] - 2016-10-29

Added

  • [README.md] line 115-118: 1. _P_(the upper 25% of given data): {"p":0.035,"x":1.7000000000000002,"sampleSize":100,"simulation":10}
    2. _P_(0): {"p":0.554,"x":0,"sampleSize":100,"simulation":10}
    3. _P_(-1.96): {"p":0.966,"x":-1.96,"sampleSize":100,"simulation":10}
    4. _P_(1.96): {"p":0.028,"x":1.96,"sampleSize":100,"simulation":10}
  • [README.md] line 111-113: ###_p_-value estimation
    The sampled size by "draw2Sample.js": <Sample size:2527>
    _p_-value was estimated as probability on v-axis: _P_(x) = _P_(_v_ >= x).
  1. P(the upper 25% of given data): {"p":0.035,"x":1.7000000000000002,"sampleSize":100,"simulation":10}
  2. P(0): {"p":0.554,"x":0,"sampleSize":100,"simulation":10}
  3. P(-1.96): {"p":0.966,"x":-1.96,"sampleSize":100,"simulation":10}
  4. P(1.96): {"p":0.028,"x":1.96,"sampleSize":100,"simulation":10}

Changed

  • [README.md] line 79: _p_-value is estimated as probability on v-axis: _P_(x) = _P_(_v_ >= x).
  • [README.md] line 67: ##\[v1.2+\] Estimating _p_-value
  • [README.md] line 33: * \(Optional \[v1.2+\]\) call "_pValue()" of "pValue.js", in order to estimate _p_-value; (see [__Estimating _p_-value__](#v12-estimating-p-value) for details of prameters).
  • [README.md] line 29: 3. __\(Optional \[v1.2+\]\) Estimating _p_-value;__ _p_-value is estimated with "pValue.js" via _Sp_.

Added

  • [README.md] line 82-86: ####Examples
    Script 1: _pValue('1,2'); the result: {"p":0.504,"x":1.75,"sampleSize":100,"simulation":10}
    Script 2: _pValue('1,2,3'); the result: {"p":0.323,"x":2.5,"sampleSize":100,"simulation":10}
    Script 3: _pValue('1,2,3',1.1); the result: {"p":0.676,"x":1.1,"sampleSize":100,"simulation":10}
    Script 4: _pValue('1,2,3',2,10,1); the result: {"p":0.6,"x":2,"sampleSize":10,"simulation":1}
  • [README.md] line 79-80: p-value is estimated as probability: _P_(x) = _P_(_v_ >= x).
    The estimation is based on resampled data with size (sampleSize) for n-time (simulation) simulations.
  • [README.md] line 70-78: _pValue(data,x,sampleSize,simulation)
    /*
    *===<parameter>===
    * data: numerical data as csv formatted text e.g., '1,2,3,...'
    *===<optional parameters>===
    * x: numerical value; the upper 25% of a given values as default
    * sampleSize: numerical positive integer; 100 as default
    * simulation: numerical positive integer; 10 as default
    */
  • [README.md] line 68-69: ####__"pValue.js"__
    * Probability estimator with given numerical data and bootstrap Method (Efron,1979) on Firefox.

Changed

  • [README.md] line 33: * \(Optional \[v1.2+\]\) call "_pValue()" of "pValue.js", in order to estimate p-value; (see [__Estimating p-value__](#v12-estimating-p-value) for details of prameters).

Added

  • [README.md] line 66-67: ______
    ##\[v1.2+\] Estimating p-value
  • [README.md] line 33: * \(Optional \[v1.2+\]\) call "_pValue()" of "pValue.js", in order to estimate p-value; (see [__Estimating p-value__]() for details of prameters).
  • [README.md] line 29: 3. __\(Optional \[v1.2+\]\) Estimating p-value;__ p-value is estimated with "pValue.js" via _Sp_.
  • [README.md] line 24: * \[v1.2+\] pValue.js

[1.2] - 2016-10-28

Changed

  • [pValue.js] line 21: if(+x!=0){x=(!x||!/^[+-]?[0-9]+(?:\.[0-9]+)?$/.test(+x))?'up25(d)':x;}else{x=0;}

[1.2] - 2016-10-27

Changed

  • [pValue.js] line 48-50: W.addEventListener('message',function(e){
    R.p=e.data[0],R.x=e.data[1],R.sampleSize=sampleSize,R.simulation=simulation;
    slf.document.getElementsByTagName('body')[0].innerHTML+='<textarea>'+slf.JSON.stringify(R)+'</textarea>',R=null;
    },true);
  • [pValue.js] line 19: var slf=window,size=0,b,U,W,spt='',R={p:0,x:0,sampleSize:0,simulation:0};
  • [pValue.js] line 18: function _pValue(data,x,sampleSize,simulation){

[1.1beta] - 2016-10-26

Added

  • [pValue.js] line 9: //probability estimator with given numerical data and bootstrap Method (Efron,1979) on Firefox.

[1.1beta] - 2016-10-25

Changed

  • [pValue.js] line 29-34: added script using modified version of bootstrapEst-2.1/bootstrapMdl.js;

Added

  • added files: pValue.js

[1.1beta] - 2016-10-24

Removed

  • [bootstrapEst-2.1/bootstrapMdl.js] line 6-13: removed

Changed

  • [bootstrapEst-2.1/bootstrapMdl.js] line 14: 'var bts=function(A,n){var r=[],rdInt=0;for(var i=0;i<n;i+=1){rdInt=Math.floor(A.length*Math.random());r.push(A[rdInt]);}return r;},'
  • [bootstrapEst-2.1/bootstrapMdl.js] line 1-10: /*bootstrapEst-2.1/bootstrapMdl.js (Yuji SODE,2016)
    * This software is released under the MIT License. See http://opensource.org/licenses/mit-license.php
    * the simple interface for estimation of a value of statistic, with bootstrap Method (Efron,1979).
    * reference: Efron, B. 1979. Bootstrap Methods: Another Look at the Jackknife. Ann. Statist. vol. 7, no. 1, p. 1-26.
    */