From 51e500e4d0d7118869e3be64588f0943e3c8ab8b Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kellysovacool@gmail.com>
Date: Wed, 9 Feb 2022 12:33:19 -0500
Subject: [PATCH 01/15] Add function to calculate relative abundance from a
 shared file

---
 R/calculate.R | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 R/calculate.R

diff --git a/R/calculate.R b/R/calculate.R
new file mode 100644
index 0000000..5458c01
--- /dev/null
+++ b/R/calculate.R
@@ -0,0 +1,8 @@
+
+calc_rel_abun <- function(abs_abun_dat) {
+    abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>% select(starts_with('Otu')))
+    rel_abun_dat <- abs_abun_dat %>% rename(sample = Group) %>%
+        pivot_longer(starts_with("Otu"), names_to = 'otu', values_to = 'count') %>%
+        mutate(rel_abun = count / total_counts) %>%
+        select(sample, otu, rel_abun)
+}

From 573551e156a2fa794ee9101f874c1f28e3196fbd Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kellysovacool@gmail.com>
Date: Thu, 10 Mar 2022 20:52:43 -0500
Subject: [PATCH 02/15] use_test('calculate')

---
 tests/testthat/test-calculate.R | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 tests/testthat/test-calculate.R

diff --git a/tests/testthat/test-calculate.R b/tests/testthat/test-calculate.R
new file mode 100644
index 0000000..8849056
--- /dev/null
+++ b/tests/testthat/test-calculate.R
@@ -0,0 +1,3 @@
+test_that("multiplication works", {
+  expect_equal(2 * 2, 4)
+})

From 631b82be09be582867764b59762bcfa9bbfbc477 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Thu, 22 Sep 2022 13:05:56 -0400
Subject: [PATCH 03/15] Add docs & tests for calc_relabun()

---
 DESCRIPTION                     |  2 +-
 NAMESPACE                       |  1 +
 R/calculate.R                   | 21 +++++++-
 tests/testthat/test-calculate.R | 89 ++++++++++++++++++++++++++++++++-
 vignettes/introduction.Rmd      | 31 +++++++++++-
 5 files changed, 138 insertions(+), 6 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 098c324..e6b0b08 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -66,4 +66,4 @@ VignetteBuilder:
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.1.1
+RoxygenNote: 7.2.1
diff --git a/NAMESPACE b/NAMESPACE
index a1fbf99..7258717 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -2,6 +2,7 @@
 
 export("%>%")
 export(.data)
+export(calc_relabun)
 export(close_enough)
 export(format_number)
 export(inline_hook)
diff --git a/R/calculate.R b/R/calculate.R
index 5458c01..ff0f1cf 100644
--- a/R/calculate.R
+++ b/R/calculate.R
@@ -1,8 +1,25 @@
 
-calc_rel_abun <- function(abs_abun_dat) {
+#' Calculate OTU relative abundances from a shared file
+#'
+#' @param abs_abun_dat a data frame from reading in a [shared file](https://mothur.org/wiki/shared_file).
+#'   Should contain a `Group` column for sample names,
+#'   `Otu` columns for absolute counts of each OTU,
+#'   and rows as each sample.
+#'
+#' @return a new data frame with OTU relative abundances in long format.
+#' @export
+#' @author Kelly Sovacool \email{sovacool@@umich.edu}
+#'
+#' @examples
+#' shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
+#'                                           package = "schtools"))
+#' shared_dat %>% calc_relabun()
+calc_relabun <- function(abs_abun_dat) {
     abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>% select(starts_with('Otu')))
-    rel_abun_dat <- abs_abun_dat %>% rename(sample = Group) %>%
+    rel_abun_dat <- abs_abun_dat %>%
+        rename(sample = Group) %>%
         pivot_longer(starts_with("Otu"), names_to = 'otu', values_to = 'count') %>%
         mutate(rel_abun = count / total_counts) %>%
         select(sample, otu, rel_abun)
+    return(rel_abun_dat)
 }
diff --git a/tests/testthat/test-calculate.R b/tests/testthat/test-calculate.R
index 8849056..3be4ca5 100644
--- a/tests/testthat/test-calculate.R
+++ b/tests/testthat/test-calculate.R
@@ -1,3 +1,88 @@
-test_that("multiplication works", {
-  expect_equal(2 * 2, 4)
+library(tidyverse)
+shared_dat <- data.frame(
+    label = rep.int(0.03, 3),
+    Group = glue::glue("p{seq.int(1, 3, 1)}") %>% as.character(),
+    numOtus = 3,
+    Otu00001 = c(10, 0, 0), # 10
+    Otu00002 = c(2, 10, 2), # 14
+    Otu00003 = c(2, 1, 10), # 13
+    Otu00004 = c(2, 2, 0),  # 04
+    Otu00005 = c(2, 0, 10), # 12
+    Otu00006 = c(0, 11, 12) # 23
+)
+test_that("calc_rel_abun works", {
+    expect_equal( # rows sum to 1
+        calc_relabun(shared_dat) %>%
+            pivot_wider(names_from = "otu", values_from = "rel_abun") %>%
+            select(starts_with('Otu')) %>%
+            rowSums(),
+        rep(1, 3)
+    )
+    expect_equal(calc_relabun(shared_dat),
+                 structure(
+                     list(
+                         sample = c(
+                             "p1",
+                             "p1",
+                             "p1",
+                             "p1",
+                             "p1",
+                             "p1",
+                             "p2",
+                             "p2",
+                             "p2",
+                             "p2",
+                             "p2",
+                             "p2",
+                             "p3",
+                             "p3",
+                             "p3",
+                             "p3",
+                             "p3",
+                             "p3"
+                         ),
+                         otu = c(
+                             "Otu00001",
+                             "Otu00002",
+                             "Otu00003",
+                             "Otu00004",
+                             "Otu00005",
+                             "Otu00006",
+                             "Otu00001",
+                             "Otu00002",
+                             "Otu00003",
+                             "Otu00004",
+                             "Otu00005",
+                             "Otu00006",
+                             "Otu00001",
+                             "Otu00002",
+                             "Otu00003",
+                             "Otu00004",
+                             "Otu00005",
+                             "Otu00006"
+                         ),
+                         rel_abun = c(
+                             0.555555555555556,
+                             0.111111111111111,
+                             0.111111111111111,
+                             0.111111111111111,
+                             0.111111111111111,
+                             0,
+                             0,
+                             0.416666666666667,
+                             0.0416666666666667,
+                             0.0833333333333333,
+                             0,
+                             0.458333333333333,
+                             0,
+                             0.0588235294117647,
+                             0.294117647058824,
+                             0,
+                             0.294117647058824,
+                             0.352941176470588
+                         )
+                     ),
+                     row.names = c(NA,-18L),
+                     class = c("tbl_df", "tbl", "data.frame")
+                 ))
 })
diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
index 2cc22be..e15c641 100644
--- a/vignettes/introduction.Rmd
+++ b/vignettes/introduction.Rmd
@@ -20,7 +20,36 @@ knitr::opts_chunk$set(
 library(schtools)
 ```
 
-## Parsing mothur output files
+## Handling mothur data
+
+### Calculated relative abundances
+
+You can read a shared file and calculate relative abundances with `calc_relabun()`:
+
+```{r calc_relabun}
+shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
+                                          package = "schtools"))
+relabun_dat <- shared_dat %>% calc_relabun()
+head(relabun_dat)
+```
+
+`calc_relabun()` returns the data frame in long format. 
+You can use `tidyr::pivot_wider()` to convert it to wide format:
+
+```{r pivot_wider}
+wide_dat <- relabun_dat %>% 
+    tidyr::pivot_wider(names_from = "otu", values_from = "rel_abun")
+head(wide_dat)
+```
+
+You can see that the relative abundances for each sample sum to 1:
+
+```{r sum1}
+wide_dat %>% 
+    select(starts_with('Otu')) %>% 
+    rowSums()
+```
+
 
 ### Phylip-formatted distance file as a tibble
  

From bceba9851e3e0e9dfb7ae179a8ae09f25c778689 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Thu, 22 Sep 2022 13:06:12 -0400
Subject: [PATCH 04/15] document()

---
 man/calc_relabun.Rd | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100644 man/calc_relabun.Rd

diff --git a/man/calc_relabun.Rd b/man/calc_relabun.Rd
new file mode 100644
index 0000000..49795fb
--- /dev/null
+++ b/man/calc_relabun.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/calculate.R
+\name{calc_relabun}
+\alias{calc_relabun}
+\title{Calculate OTU relative abundances from a shared file}
+\usage{
+calc_relabun(abs_abun_dat)
+}
+\arguments{
+\item{abs_abun_dat}{a data frame from reading in a \href{https://mothur.org/wiki/shared_file}{shared file}.
+Should contain a \code{Group} column for sample names,
+\code{Otu} columns for absolute counts of each OTU,
+and rows as each sample.}
+}
+\value{
+a new data frame with OTU relative abundances in long format.
+}
+\description{
+Calculate OTU relative abundances from a shared file
+}
+\examples{
+shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
+                                          package = "schtools"))
+shared_dat \%>\% calc_relabun()
+}
+\author{
+Kelly Sovacool \email{sovacool@umich.edu}
+}

From 3159b3866daf5f14b036f3574c899a812fbb8336 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Fri, 23 Sep 2022 12:09:41 -0400
Subject: [PATCH 05/15] Tweak example to use relabun data

---
 vignettes/introduction.Rmd | 34 ++++++++++++----------------------
 1 file changed, 12 insertions(+), 22 deletions(-)

diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
index 89d9941..1087d81 100644
--- a/vignettes/introduction.Rmd
+++ b/vignettes/introduction.Rmd
@@ -22,7 +22,7 @@ library(schtools)
 
 ## Handling mothur data
 
-### Calculated relative abundances
+### Calculate relative abundances
 
 You can read a shared file and calculate relative abundances with `calc_relabun()`:
 
@@ -68,31 +68,21 @@ without italicizing the OTU label. This can be used with
 `ggtext::element_markdown()` to make nice plots:
 
 ```{r italic-genus}
-library(dplyr)
-library(ggplot2)
 library(ggtext)
-library(tidyr)
+library(tidyverse)
 set.seed(20220427)
-pick_random_bool <- function(n = nrow(tax_dat)) {
-        sample(c(TRUE, FALSE), n, replace = TRUE)
-    }
-tax_dat %>% 
-    select(label_html) %>% 
-    mutate(sample1 = pick_random_bool(),
-           sample2 = pick_random_bool(),
-           sample3 = pick_random_bool() 
+
+relabun_dat %>%
+    mutate(sample_num = str_remove(sample, 'p') %>% as.integer(),
+           treatment = case_when(sample_num %% 2 == 1 ~ 'A', 
+                                                 TRUE ~ 'B')
            ) %>% 
-    pivot_longer(starts_with('sample'), 
-                 names_to = 'sample', values_to = 'presence') %>% 
-    ggplot(aes(x = sample, y = label_html)) +
-    geom_tile(colour = "whitesmoke", fill = "white", size=0.5) +
-    geom_point(aes(color = presence), size = 4) +
-    scale_fill_manual(values = c(`TRUE` = "#08519C", `FALSE` = "#F0F0F0")) +
-    scale_x_discrete(position = "top") +
+    inner_join(tax_dat, by = "otu") %>%
+    ggplot(aes(x = rel_abun, y = label_html, color = treatment)) +
+    geom_jitter(alpha = 0.7, height = 0.2) +
+    labs(x = 'Relative abundance', y = '') +
     theme_minimal() +
-    theme(axis.text.y = element_markdown(),
-          axis.title.y = element_blank(),
-          axis.title.x = element_blank())
+    theme(axis.text.y = element_markdown())
 ```
 
 #### Pooling OTU counts at different taxonomic levels

From a22ae6e014a54684c95d60fc367e8296d5254e26 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Fri, 23 Sep 2022 12:12:16 -0400
Subject: [PATCH 06/15] Move tidyverse import earlier

---
 vignettes/introduction.Rmd | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
index 1087d81..1f8e162 100644
--- a/vignettes/introduction.Rmd
+++ b/vignettes/introduction.Rmd
@@ -18,6 +18,7 @@ knitr::opts_chunk$set(
 
 ```{r deps}
 library(schtools)
+library(tidyverse)
 ```
 
 ## Handling mothur data
@@ -27,8 +28,8 @@ library(schtools)
 You can read a shared file and calculate relative abundances with `calc_relabun()`:
 
 ```{r calc_relabun}
-shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
-                                          package = "schtools"))
+shared_dat <- read_tsv(system.file("extdata", "test.shared", 
+                                   package = "schtools"))
 relabun_dat <- shared_dat %>% calc_relabun()
 head(relabun_dat)
 ```
@@ -38,7 +39,7 @@ You can use `tidyr::pivot_wider()` to convert it to wide format:
 
 ```{r pivot_wider}
 wide_dat <- relabun_dat %>% 
-    tidyr::pivot_wider(names_from = "otu", values_from = "rel_abun")
+    pivot_wider(names_from = "otu", values_from = "rel_abun")
 head(wide_dat)
 ```
 
@@ -69,7 +70,6 @@ without italicizing the OTU label. This can be used with
 
 ```{r italic-genus}
 library(ggtext)
-library(tidyverse)
 set.seed(20220427)
 
 relabun_dat %>%
@@ -94,6 +94,9 @@ mothur, and a corresponding taxonomy file.
 Take a look at the [mothur documentation](https://mothur.org/wiki/) for info on
 generating these files and performing microbiome analyses.
 
+In this example, `pool_taxon_counts()` pools the OTU counts in the shared file 
+at the genus level and returns new shared and taxonomy data frames.
+
 ```{r pool_genus}
 tax_dat <- read_tax(system.file("extdata", "test.taxonomy",
                                 package = "schtools"))
@@ -102,8 +105,6 @@ shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
 pool_taxon_counts(shared_dat, tax_dat, genus)
 ```
 
-In this example, `pool_taxon_counts()` pools the OTU counts in the shared file 
-at the genus level and returns new shared and taxonomy data frames.
 You can do this for any taxonomic level in your taxonomy data frame.
 
 ```{r pool_phylum}

From 873bd0d2a5ffb7d10644c4776def4ab6c840023b Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Fri, 23 Sep 2022 12:13:30 -0400
Subject: [PATCH 07/15] Simplify read_tax example

---
 vignettes/introduction.Rmd | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
index 1f8e162..ee4f746 100644
--- a/vignettes/introduction.Rmd
+++ b/vignettes/introduction.Rmd
@@ -59,8 +59,8 @@ You can use `read_tax()` to parse the taxonomy data and create separate columns
 for each taxonomic level.
 
 ```{r read_tax}
-tax_filepath <- system.file("extdata", "test.taxonomy", package = "schtools")
-tax_dat <- read_tax(tax_filepath)
+tax_dat <- read_tax(system.file("extdata", "test.taxonomy", 
+                                package = "schtools"))
 head(tax_dat)
 ```
 

From 502433e214b3a000568eb2f737fe4db6b5c45c23 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Fri, 23 Sep 2022 12:17:53 -0400
Subject: [PATCH 08/15] Fix imports -- can't suggest tidyverse

---
 vignettes/introduction.Rmd | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/vignettes/introduction.Rmd b/vignettes/introduction.Rmd
index ee4f746..9595868 100644
--- a/vignettes/introduction.Rmd
+++ b/vignettes/introduction.Rmd
@@ -18,7 +18,10 @@ knitr::opts_chunk$set(
 
 ```{r deps}
 library(schtools)
-library(tidyverse)
+library(dplyr)
+library(ggplot2)
+library(readr)
+library(tidyr)
 ```
 
 ## Handling mothur data
@@ -73,7 +76,7 @@ library(ggtext)
 set.seed(20220427)
 
 relabun_dat %>%
-    mutate(sample_num = str_remove(sample, 'p') %>% as.integer(),
+    mutate(sample_num = stringr::str_remove(sample, 'p') %>% as.integer(),
            treatment = case_when(sample_num %% 2 == 1 ~ 'A', 
                                                  TRUE ~ 'B')
            ) %>% 

From 9eb9e930f43a9c85bab8db87f3529fad4557d11a Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Mon, 26 Sep 2022 14:59:41 -0400
Subject: [PATCH 09/15] Fix imports for tests

---
 tests/testthat/test-calculate.R | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/testthat/test-calculate.R b/tests/testthat/test-calculate.R
index 3be4ca5..bae8261 100644
--- a/tests/testthat/test-calculate.R
+++ b/tests/testthat/test-calculate.R
@@ -1,4 +1,5 @@
-library(tidyverse)
+library(dplyr)
+library(tidyr)
 shared_dat <- data.frame(
     label = rep.int(0.03, 3),
     Group = glue::glue("p{seq.int(1, 3, 1)}") %>% as.character(),

From 51f38d2eaeb2c23fbabb4bb502720b8b44ed7724 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Mon, 26 Sep 2022 16:42:49 -0400
Subject: [PATCH 10/15] Fix global var warnings

---
 R/calculate.R | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/R/calculate.R b/R/calculate.R
index ff0f1cf..1919a9f 100644
--- a/R/calculate.R
+++ b/R/calculate.R
@@ -15,11 +15,14 @@
 #'                                           package = "schtools"))
 #' shared_dat %>% calc_relabun()
 calc_relabun <- function(abs_abun_dat) {
-    abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>% select(starts_with('Otu')))
+    count <- Group <- mutate <- otu <- rel_abun <- total_counts <- NULL
+    abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>%
+                                             dplyr::select(starts_with('Otu')))
     rel_abun_dat <- abs_abun_dat %>%
-        rename(sample = Group) %>%
-        pivot_longer(starts_with("Otu"), names_to = 'otu', values_to = 'count') %>%
-        mutate(rel_abun = count / total_counts) %>%
-        select(sample, otu, rel_abun)
+        dplyr::rename(sample = Group) %>%
+        tidyr::pivot_longer(dplyr::starts_with("Otu"),
+                            names_to = 'otu', values_to = 'count') %>%
+        dplyr::mutate(rel_abun = count / total_counts) %>%
+        dplyr::select(sample, otu, rel_abun)
     return(rel_abun_dat)
 }

From 20c4831453c5fbf5a6e537b0087fa821a6250d1c Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Mon, 26 Sep 2022 16:50:42 -0400
Subject: [PATCH 11/15] Fix fcn ref

---
 R/calculate.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/calculate.R b/R/calculate.R
index 1919a9f..e07e37c 100644
--- a/R/calculate.R
+++ b/R/calculate.R
@@ -17,7 +17,7 @@
 calc_relabun <- function(abs_abun_dat) {
     count <- Group <- mutate <- otu <- rel_abun <- total_counts <- NULL
     abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>%
-                                             dplyr::select(starts_with('Otu')))
+                                             dplyr::select(dplyr::starts_with('Otu')))
     rel_abun_dat <- abs_abun_dat %>%
         dplyr::rename(sample = Group) %>%
         tidyr::pivot_longer(dplyr::starts_with("Otu"),

From 351253a21d686a2d2dee99936be4cdeff73e09d7 Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Mon, 26 Sep 2022 17:00:08 -0400
Subject: [PATCH 12/15] Add calc_relabun() to pkgdown function page

---
 _pkgdown.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/_pkgdown.yml b/_pkgdown.yml
index e5a26ec..1ecc013 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -23,10 +23,11 @@ reference:
   - schtools
 - title: Microbiome
   desc: >
-    Read files & handle microbiome-related data.
+    Handle microbiome-related data.
   contents:
   - starts_with('read_')
   - starts_with('parse_')
+  - calc_relabun
   - pool_taxon_counts
 - title: R Markdown helpers
   desc: >

From d5322922a0e4f6c8993db1cae740019156beb1fa Mon Sep 17 00:00:00 2001
From: Kelly Sovacool <kelly-sovacool@users.noreply.github.com>
Date: Mon, 26 Sep 2022 17:01:49 -0400
Subject: [PATCH 13/15] Update NEWS

---
 NEWS.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/NEWS.md b/NEWS.md
index 35b05c0..e6cf098 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -6,18 +6,19 @@
   level (e.g. genus, phylum, etc.) to enable comparing analyses at different 
   taxonomic resolutions, as seen in <https://doi.org/10.1128/mbio.03161-21> 
   (#37, @kelly-sovacool).
+- New function `calc_relabun()` calculates OTU relative abundances (#38, @kelly-sovacool).
 
 # schtools 0.2.1
 
-- Improvements to `parse_tax()` (#32, @kelly-sovacool)
+- Improvements to `parse_tax()` (#32, @kelly-sovacool).
     - New column `label_html` provides HTML to correctly italicize genus names but not OTU labels.
     - Added an example to the intro vignette to demonstrate using this feature with `ggtext`.
     - Changed taxonomy data frame column names to lowercase and reordered them.
-- Minor documentation improvements (#33, @kelly-sovacool)
+- Minor documentation improvements (#33, @kelly-sovacool).
 
 # schtools 0.1.1
 
-- Refactored `read_tax()` (#30, @kelly-sovacool)
+- Refactored `read_tax()` (#30, @kelly-sovacool).
     - New function `parse_tax()` to separate the logic of reading and parsing taxonomy files.
     - `read_tax()` now accepts a `sep` parameter to handle different delim file types (e.g. csv or tsv).
 - schtools now has a logo! (#31, @kelly-sovacool)

From 4a50febb16ee6c87a4857331fd1bacf9beaee7a3 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 26 Sep 2022 21:08:19 +0000
Subject: [PATCH 14/15] =?UTF-8?q?=F0=9F=8E=A8=20Style=20R=20code?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 R/calculate.R                   |  24 ++---
 tests/testthat/test-calculate.R | 166 ++++++++++++++++----------------
 2 files changed, 97 insertions(+), 93 deletions(-)

diff --git a/R/calculate.R b/R/calculate.R
index e07e37c..e4f419d 100644
--- a/R/calculate.R
+++ b/R/calculate.R
@@ -12,17 +12,19 @@
 #'
 #' @examples
 #' shared_dat <- readr::read_tsv(system.file("extdata", "test.shared",
-#'                                           package = "schtools"))
+#'   package = "schtools"
+#' ))
 #' shared_dat %>% calc_relabun()
 calc_relabun <- function(abs_abun_dat) {
-    count <- Group <- mutate <- otu <- rel_abun <- total_counts <- NULL
-    abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>%
-                                             dplyr::select(dplyr::starts_with('Otu')))
-    rel_abun_dat <- abs_abun_dat %>%
-        dplyr::rename(sample = Group) %>%
-        tidyr::pivot_longer(dplyr::starts_with("Otu"),
-                            names_to = 'otu', values_to = 'count') %>%
-        dplyr::mutate(rel_abun = count / total_counts) %>%
-        dplyr::select(sample, otu, rel_abun)
-    return(rel_abun_dat)
+  count <- Group <- mutate <- otu <- rel_abun <- total_counts <- NULL
+  abs_abun_dat$total_counts <- rowSums(abs_abun_dat %>%
+    dplyr::select(dplyr::starts_with("Otu")))
+  rel_abun_dat <- abs_abun_dat %>%
+    dplyr::rename(sample = Group) %>%
+    tidyr::pivot_longer(dplyr::starts_with("Otu"),
+      names_to = "otu", values_to = "count"
+    ) %>%
+    dplyr::mutate(rel_abun = count / total_counts) %>%
+    dplyr::select(sample, otu, rel_abun)
+  return(rel_abun_dat)
 }
diff --git a/tests/testthat/test-calculate.R b/tests/testthat/test-calculate.R
index bae8261..0a7de7c 100644
--- a/tests/testthat/test-calculate.R
+++ b/tests/testthat/test-calculate.R
@@ -1,89 +1,91 @@
 library(dplyr)
 library(tidyr)
 shared_dat <- data.frame(
-    label = rep.int(0.03, 3),
-    Group = glue::glue("p{seq.int(1, 3, 1)}") %>% as.character(),
-    numOtus = 3,
-    Otu00001 = c(10, 0, 0), # 10
-    Otu00002 = c(2, 10, 2), # 14
-    Otu00003 = c(2, 1, 10), # 13
-    Otu00004 = c(2, 2, 0),  # 04
-    Otu00005 = c(2, 0, 10), # 12
-    Otu00006 = c(0, 11, 12) # 23
+  label = rep.int(0.03, 3),
+  Group = glue::glue("p{seq.int(1, 3, 1)}") %>% as.character(),
+  numOtus = 3,
+  Otu00001 = c(10, 0, 0), # 10
+  Otu00002 = c(2, 10, 2), # 14
+  Otu00003 = c(2, 1, 10), # 13
+  Otu00004 = c(2, 2, 0), # 04
+  Otu00005 = c(2, 0, 10), # 12
+  Otu00006 = c(0, 11, 12) # 23
 )
 test_that("calc_rel_abun works", {
-    expect_equal( # rows sum to 1
-        calc_relabun(shared_dat) %>%
-            pivot_wider(names_from = "otu", values_from = "rel_abun") %>%
-            select(starts_with('Otu')) %>%
-            rowSums(),
-        rep(1, 3)
+  expect_equal( # rows sum to 1
+    calc_relabun(shared_dat) %>%
+      pivot_wider(names_from = "otu", values_from = "rel_abun") %>%
+      select(starts_with("Otu")) %>%
+      rowSums(),
+    rep(1, 3)
+  )
+  expect_equal(
+    calc_relabun(shared_dat),
+    structure(
+      list(
+        sample = c(
+          "p1",
+          "p1",
+          "p1",
+          "p1",
+          "p1",
+          "p1",
+          "p2",
+          "p2",
+          "p2",
+          "p2",
+          "p2",
+          "p2",
+          "p3",
+          "p3",
+          "p3",
+          "p3",
+          "p3",
+          "p3"
+        ),
+        otu = c(
+          "Otu00001",
+          "Otu00002",
+          "Otu00003",
+          "Otu00004",
+          "Otu00005",
+          "Otu00006",
+          "Otu00001",
+          "Otu00002",
+          "Otu00003",
+          "Otu00004",
+          "Otu00005",
+          "Otu00006",
+          "Otu00001",
+          "Otu00002",
+          "Otu00003",
+          "Otu00004",
+          "Otu00005",
+          "Otu00006"
+        ),
+        rel_abun = c(
+          0.555555555555556,
+          0.111111111111111,
+          0.111111111111111,
+          0.111111111111111,
+          0.111111111111111,
+          0,
+          0,
+          0.416666666666667,
+          0.0416666666666667,
+          0.0833333333333333,
+          0,
+          0.458333333333333,
+          0,
+          0.0588235294117647,
+          0.294117647058824,
+          0,
+          0.294117647058824,
+          0.352941176470588
+        )
+      ),
+      row.names = c(NA, -18L),
+      class = c("tbl_df", "tbl", "data.frame")
     )
-    expect_equal(calc_relabun(shared_dat),
-                 structure(
-                     list(
-                         sample = c(
-                             "p1",
-                             "p1",
-                             "p1",
-                             "p1",
-                             "p1",
-                             "p1",
-                             "p2",
-                             "p2",
-                             "p2",
-                             "p2",
-                             "p2",
-                             "p2",
-                             "p3",
-                             "p3",
-                             "p3",
-                             "p3",
-                             "p3",
-                             "p3"
-                         ),
-                         otu = c(
-                             "Otu00001",
-                             "Otu00002",
-                             "Otu00003",
-                             "Otu00004",
-                             "Otu00005",
-                             "Otu00006",
-                             "Otu00001",
-                             "Otu00002",
-                             "Otu00003",
-                             "Otu00004",
-                             "Otu00005",
-                             "Otu00006",
-                             "Otu00001",
-                             "Otu00002",
-                             "Otu00003",
-                             "Otu00004",
-                             "Otu00005",
-                             "Otu00006"
-                         ),
-                         rel_abun = c(
-                             0.555555555555556,
-                             0.111111111111111,
-                             0.111111111111111,
-                             0.111111111111111,
-                             0.111111111111111,
-                             0,
-                             0,
-                             0.416666666666667,
-                             0.0416666666666667,
-                             0.0833333333333333,
-                             0,
-                             0.458333333333333,
-                             0,
-                             0.0588235294117647,
-                             0.294117647058824,
-                             0,
-                             0.294117647058824,
-                             0.352941176470588
-                         )
-                     ),
-                     row.names = c(NA,-18L),
-                     class = c("tbl_df", "tbl", "data.frame")
-                 ))
+  )
 })

From 090e5bac66c74ee34336b6757801aeea32f91df1 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 26 Sep 2022 21:09:40 +0000
Subject: [PATCH 15/15] =?UTF-8?q?=F0=9F=93=91=20Build=20docs=20site?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 docs/dev/articles/introduction.html           | 120 +++++++++++-----
 .../figure-html/italic-genus-1.png            | Bin 113698 -> 136171 bytes
 docs/dev/news/index.html                      |   6 +-
 docs/dev/pkgdown.yml                          |   2 +-
 docs/dev/reference/calc_relabun.html          | 133 ++++++++++++++++++
 docs/dev/reference/index.html                 |   7 +-
 docs/dev/search.json                          |   2 +-
 docs/dev/sitemap.xml                          |   3 +
 8 files changed, 230 insertions(+), 43 deletions(-)
 create mode 100644 docs/dev/reference/calc_relabun.html

diff --git a/docs/dev/articles/introduction.html b/docs/dev/articles/introduction.html
index 93edaa0..c5ff320 100644
--- a/docs/dev/articles/introduction.html
+++ b/docs/dev/articles/introduction.html
@@ -90,17 +90,77 @@ <h6 class="dropdown-header" data-toc-skip>Vignettes</h6>
     
     
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="http://www.schlosslab.org/schtools/">schtools</a></span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="http://www.schlosslab.org/schtools/">schtools</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
+<span><span class="co">#&gt; </span></span>
+<span><span class="co">#&gt; Attaching package: 'dplyr'</span></span>
+<span><span class="co">#&gt; The following objects are masked from 'package:stats':</span></span>
+<span><span class="co">#&gt; </span></span>
+<span><span class="co">#&gt;     filter, lag</span></span>
+<span><span class="co">#&gt; The following objects are masked from 'package:base':</span></span>
+<span><span class="co">#&gt; </span></span>
+<span><span class="co">#&gt;     intersect, setdiff, setequal, union</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://readr.tidyverse.org" class="external-link">readr</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyr.tidyverse.org" class="external-link">tidyr</a></span><span class="op">)</span></span></code></pre></div>
 <div class="section level2">
-<h2 id="parsing-mothur-output-files">Parsing mothur output files<a class="anchor" aria-label="anchor" href="#parsing-mothur-output-files"></a>
+<h2 id="handling-mothur-data">Handling mothur data<a class="anchor" aria-label="anchor" href="#handling-mothur-data"></a>
 </h2>
 <div class="section level3">
+<h3 id="calculate-relative-abundances">Calculate relative abundances<a class="anchor" aria-label="anchor" href="#calculate-relative-abundances"></a>
+</h3>
+<p>You can read a shared file and calculate relative abundances with <code><a href="../reference/calc_relabun.html">calc_relabun()</a></code>:</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">shared_dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_tsv</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.shared"</span>, package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; <span style="font-weight: bold;">Rows: </span><span style="color: #0000BB;">10</span> <span style="font-weight: bold;">Columns: </span><span style="color: #0000BB;">15</span></span></span>
+<span><span class="co">#&gt; <span style="color: #00BBBB;">──</span> <span style="font-weight: bold;">Column specification</span> <span style="color: #00BBBB;">────────────────────────────────────────────────────────</span></span></span>
+<span><span class="co">#&gt; <span style="font-weight: bold;">Delimiter:</span> "\t"</span></span>
+<span><span class="co">#&gt; <span style="color: #BB0000;">chr</span>  (1): Group</span></span>
+<span><span class="co">#&gt; <span style="color: #00BB00;">dbl</span> (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0...</span></span>
+<span><span class="co">#&gt; </span></span>
+<span><span class="co">#&gt; <span style="color: #00BBBB;">ℹ</span> Use `spec()` to retrieve the full column specification for this data.</span></span>
+<span><span class="co">#&gt; <span style="color: #00BBBB;">ℹ</span> Specify the column types or set `show_col_types = FALSE` to quiet this message.</span></span>
+<span><span class="va">relabun_dat</span> <span class="op">&lt;-</span> <span class="va">shared_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/calc_relabun.html">calc_relabun</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">relabun_dat</span><span class="op">)</span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 6 × 3</span></span></span>
+<span><span class="co">#&gt;   sample otu      rel_abun</span></span>
+<span><span class="co">#&gt;   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> p1     Otu0001      0   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> p1     Otu0003      0   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> p1     Otu0004      0   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> p1     Otu00008     0   </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> p1     Otu0044      0.25</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">6</span> p1     Otu0056      0.25</span></span></code></pre></div>
+<p><code><a href="../reference/calc_relabun.html">calc_relabun()</a></code> returns the data frame in long format. You can use <code><a href="https://tidyr.tidyverse.org/reference/pivot_wider.html" class="external-link">tidyr::pivot_wider()</a></code> to convert it to wide format:</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">wide_dat</span> <span class="op">&lt;-</span> <span class="va">relabun_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/pivot_wider.html" class="external-link">pivot_wider</a></span><span class="op">(</span>names_from <span class="op">=</span> <span class="st">"otu"</span>, values_from <span class="op">=</span> <span class="st">"rel_abun"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">wide_dat</span><span class="op">)</span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 6 × 13</span></span></span>
+<span><span class="co">#&gt;   sample Otu0001 Otu0003 Otu0004 Otu00…¹ Otu0044 Otu0056 Otu0057 Otu0058 Otu0159</span></span>
+<span><span class="co">#&gt;   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">1</span> p1       0        0      0       0       0.25    0.25    0       0.25      0  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">2</span> p2       0.167    0      0.167   0       0.167   0       0       0.167     0  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">3</span> p3       0        0.2    0       0       0.2     0       0       0         0.2</span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">4</span> p4       0.25     0.25   0       0.25    0       0       0       0         0  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">5</span> p5       0.25     0      0.25    0       0.25    0       0       0         0  </span></span>
+<span><span class="co">#&gt; <span style="color: #BCBCBC;">6</span> p6       0.167    0      0       0.167   0       0.167   0.167   0.167     0  </span></span>
+<span><span class="co">#&gt; <span style="color: #949494;"># … with 3 more variables: Otu0208 &lt;dbl&gt;, Otu0328 &lt;dbl&gt;, Otu0329 &lt;dbl&gt;, and</span></span></span>
+<span><span class="co">#&gt; <span style="color: #949494;">#   abbreviated variable name ¹​Otu00008</span></span></span></code></pre></div>
+<p>You can see that the relative abundances for each sample sum to 1:</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">wide_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu"><a href="https://tidyselect.r-lib.org/reference/starts_with.html" class="external-link">starts_with</a></span><span class="op">(</span><span class="st">"Otu"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/colSums.html" class="external-link">rowSums</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="co">#&gt;  [1] 1 1 1 1 1 1 1 1 1 1</span></span></code></pre></div>
+</div>
+<div class="section level3">
 <h3 id="taxonomy-files">Taxonomy files<a class="anchor" aria-label="anchor" href="#taxonomy-files"></a>
 </h3>
 <p>mothur formats taxonomy files as tab-separated values (tsv). You can use <code><a href="../reference/read_tax.html">read_tax()</a></code> to parse the taxonomy data and create separate columns for each taxonomic level.</p>
-<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="va">tax_filepath</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.taxonomy"</span>, package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span></span>
-<span><span class="va">tax_dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/read_tax.html">read_tax</a></span><span class="op">(</span><span class="va">tax_filepath</span><span class="op">)</span></span>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">tax_dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/read_tax.html">read_tax</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.taxonomy"</span>, package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">tax_dat</span><span class="op">)</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 6 × 10</span></span></span>
 <span><span class="co">#&gt;   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus</span></span>
@@ -113,37 +173,23 @@ <h3 id="taxonomy-files">Taxonomy files<a class="anchor" aria-label="anchor" href
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">6</span> Otu0056  OTU 56    Bacteria (… &lt;i&gt;Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact…</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># … with abbreviated variable names ¹​tax_otu_label, ²​label_html</span></span></span></code></pre></div>
 <p>The column <code>label_html</code> provides html that correctly italicizes the genus name without italicizing the OTU label. This can be used with <code><a href="https://wilkelab.org/ggtext/reference/element_markdown.html" class="external-link">ggtext::element_markdown()</a></code> to make nice plots:</p>
-<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
-<span><span class="co">#&gt; </span></span>
-<span><span class="co">#&gt; Attaching package: 'dplyr'</span></span>
-<span><span class="co">#&gt; The following objects are masked from 'package:stats':</span></span>
-<span><span class="co">#&gt; </span></span>
-<span><span class="co">#&gt;     filter, lag</span></span>
-<span><span class="co">#&gt; The following objects are masked from 'package:base':</span></span>
-<span><span class="co">#&gt; </span></span>
-<span><span class="co">#&gt;     intersect, setdiff, setequal, union</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://wilkelab.org/ggtext/" class="external-link">ggtext</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyr.tidyverse.org" class="external-link">tidyr</a></span><span class="op">)</span></span>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://wilkelab.org/ggtext/" class="external-link">ggtext</a></span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">20220427</span><span class="op">)</span></span>
-<span><span class="va">pick_random_bool</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">n</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="va">tax_dat</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
-<span>    <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">TRUE</span>, <span class="cn">FALSE</span><span class="op">)</span>, <span class="va">n</span>, replace <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span><span class="op">}</span></span>
-<span><span class="va">tax_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
-<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">label_html</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
-<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>sample1 <span class="op">=</span> <span class="fu">pick_random_bool</span><span class="op">(</span><span class="op">)</span>, sample2 <span class="op">=</span> <span class="fu">pick_random_bool</span><span class="op">(</span><span class="op">)</span>, sample3 <span class="op">=</span> <span class="fu">pick_random_bool</span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
-<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/pivot_longer.html" class="external-link">pivot_longer</a></span><span class="op">(</span><span class="fu"><a href="https://tidyselect.r-lib.org/reference/starts_with.html" class="external-link">starts_with</a></span><span class="op">(</span><span class="st">"sample"</span><span class="op">)</span>, names_to <span class="op">=</span> <span class="st">"sample"</span>, values_to <span class="op">=</span> <span class="st">"presence"</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">sample</span>, y <span class="op">=</span> <span class="va">label_html</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_tile.html" class="external-link">geom_tile</a></span><span class="op">(</span>colour <span class="op">=</span> <span class="st">"whitesmoke"</span>, fill <span class="op">=</span> <span class="st">"white"</span>,</span>
-<span>    size <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_point.html" class="external-link">geom_point</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>color <span class="op">=</span> <span class="va">presence</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">4</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_fill_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>`TRUE` <span class="op">=</span> <span class="st">"#08519C"</span>,</span>
-<span>    `FALSE` <span class="op">=</span> <span class="st">"#F0F0F0"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_discrete.html" class="external-link">scale_x_discrete</a></span><span class="op">(</span>position <span class="op">=</span> <span class="st">"top"</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.y <span class="op">=</span> <span class="fu"><a href="https://wilkelab.org/ggtext/reference/element_markdown.html" class="external-link">element_markdown</a></span><span class="op">(</span><span class="op">)</span>, axis.title.y <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_blank</a></span><span class="op">(</span><span class="op">)</span>, axis.title.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_blank</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<span></span>
+<span><span class="va">relabun_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>sample_num <span class="op">=</span> <span class="fu">stringr</span><span class="fu">::</span><span class="fu"><a href="https://stringr.tidyverse.org/reference/str_remove.html" class="external-link">str_remove</a></span><span class="op">(</span><span class="va">sample</span>, <span class="st">"p"</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>        <span class="fu"><a href="https://rdrr.io/r/base/integer.html" class="external-link">as.integer</a></span><span class="op">(</span><span class="op">)</span>, treatment <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/case_when.html" class="external-link">case_when</a></span><span class="op">(</span><span class="va">sample_num</span><span class="op"><a href="https://rdrr.io/r/base/Arithmetic.html" class="external-link">%%</a></span><span class="fl">2</span> <span class="op">==</span> <span class="fl">1</span> <span class="op">~</span> <span class="st">"A"</span>, <span class="cn">TRUE</span> <span class="op">~</span> <span class="st">"B"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate-joins.html" class="external-link">inner_join</a></span><span class="op">(</span><span class="va">tax_dat</span>, by <span class="op">=</span> <span class="st">"otu"</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">rel_abun</span>, y <span class="op">=</span> <span class="va">label_html</span>, color <span class="op">=</span> <span class="va">treatment</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_jitter.html" class="external-link">geom_jitter</a></span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.7</span>,</span>
+<span>    height <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Relative abundance"</span>, y <span class="op">=</span> <span class="st">""</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.y <span class="op">=</span> <span class="fu"><a href="https://wilkelab.org/ggtext/reference/element_markdown.html" class="external-link">element_markdown</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p><img src="introduction_files/figure-html/italic-genus-1.png" width="700"></p>
 <div class="section level4">
 <h4 id="pooling-otu-counts-at-different-taxonomic-levels">Pooling OTU counts at different taxonomic levels<a class="anchor" aria-label="anchor" href="#pooling-otu-counts-at-different-taxonomic-levels"></a>
 </h4>
 <p>A common task is to repeat OTU-level analyses at different taxonomic levels to determine <a href="https://doi.org/10.1128/mbio.03161-21" class="external-link">which resolution is optimal for answering your questions</a>. You’ll need a shared file, generated from clustering sequences into OTUs with mothur, and a corresponding taxonomy file. Take a look at the <a href="https://mothur.org/wiki/" class="external-link">mothur documentation</a> for info on generating these files and performing microbiome analyses.</p>
-<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<p>In this example, <code><a href="../reference/pool_taxon_counts.html">pool_taxon_counts()</a></code> pools the OTU counts in the shared file at the genus level and returns new shared and taxonomy data frames.</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">tax_dat</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/read_tax.html">read_tax</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.taxonomy"</span>, package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">shared_dat</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_tsv</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.shared"</span>, package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt; <span style="font-weight: bold;">Rows: </span><span style="color: #0000BB;">10</span> <span style="font-weight: bold;">Columns: </span><span style="color: #0000BB;">15</span></span></span>
@@ -185,8 +231,8 @@ <h4 id="pooling-otu-counts-at-different-taxonomic-levels">Pooling OTU counts at
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 8</span> Otu08     4 Clostridium XVIII                             </span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;"> 9</span> Otu09     7 Candidatus Saccharibacteria unclassified      </span></span>
 <span><span class="co">#&gt; <span style="color: #BCBCBC;">10</span> Otu10     5 Clostridiales Incertae Sedis XIII unclassified</span></span></code></pre></div>
-<p>In this example, <code><a href="../reference/pool_taxon_counts.html">pool_taxon_counts()</a></code> pools the OTU counts in the shared file at the genus level and returns new shared and taxonomy data frames. You can do this for any taxonomic level in your taxonomy data frame.</p>
-<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<p>You can do this for any taxonomic level in your taxonomy data frame.</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/pool_taxon_counts.html">pool_taxon_counts</a></span><span class="op">(</span><span class="va">shared_dat</span>, <span class="va">tax_dat</span>, <span class="va">phylum</span><span class="op">)</span></span>
 <span><span class="co">#&gt; $shared</span></span>
 <span><span class="co">#&gt; <span style="color: #949494;"># A tibble: 10 × 8</span></span></span>
@@ -218,7 +264,7 @@ <h4 id="pooling-otu-counts-at-different-taxonomic-levels">Pooling OTU counts at
 <h3 id="distance-files">Distance files<a class="anchor" aria-label="anchor" href="#distance-files"></a>
 </h3>
 <p>If you have a distance file saved as a phylip-formatted lower triangle matrix from mothur’s <a href="https://mothur.org/wiki/dist.seqs/" class="external-link"><code>dist.seqs</code></a> command, you can read it into R with <code><a href="../reference/read_dist.html">read_dist()</a></code>:</p>
-<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">dist_filepath</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"sample.final.thetayc.0.03.lt.ave.dist"</span>,</span>
 <span>    package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span></span>
 <span><span class="va">dist_tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/read_dist.html">read_dist</a></span><span class="op">(</span><span class="va">dist_filepath</span><span class="op">)</span></span>
@@ -238,15 +284,15 @@ <h3 id="distance-files">Distance files<a class="anchor" aria-label="anchor" href
 <h2 id="r-markdown-helpers-for-scientific-writing">R Markdown helpers for scientific writing<a class="anchor" aria-label="anchor" href="#r-markdown-helpers-for-scientific-writing"></a>
 </h2>
 <p>When writing scientific papers with R Markdown, we often find ourselves using the same knitr chunk options and miscellaneous helper functions. To use our favorite options like <code>eval=TRUE</code>, <code>echo=FALSE</code>, and others, run <code><a href="../reference/set_knitr_opts.html">set_knitr_opts()</a></code> in the first chunk of your R Markdown document:</p>
-<div class="sourceCode" id="cb7"><pre class="sourceCode markdown"><code class="sourceCode markdown"><span id="cb7-1"><a href="#cb7-1"></a><span class="bn">```{r, include = FALSE}</span></span>
-<span id="cb7-2"><a href="#cb7-2"></a><span class="bn">set_knitr_opts()</span></span>
-<span id="cb7-3"><a href="#cb7-3"></a><span class="bn">```</span></span></code></pre></div>
+<div class="sourceCode" id="cb10"><pre class="sourceCode markdown"><code class="sourceCode markdown"><span id="cb10-1"><a href="#cb10-1"></a><span class="bn">```{r, include = FALSE}</span></span>
+<span id="cb10-2"><a href="#cb10-2"></a><span class="bn">set_knitr_opts()</span></span>
+<span id="cb10-3"><a href="#cb10-3"></a><span class="bn">```</span></span></code></pre></div>
 <p>This also sets the inline hook to our custom <code><a href="../reference/inline_hook.html">inline_hook()</a></code> function, which automatically formats numbers in a human-readable way and inserts an Oxford comma into lists when needed.</p>
 <div class="section level3">
 <h3 id="who-doesnt-love-an-oxford-comma">Who doesn’t love an Oxford comma?<a class="anchor" aria-label="anchor" href="#who-doesnt-love-an-oxford-comma"></a>
 </h3>
 <p>When writing with R Markdown, you may wish to insert a list or vector inline and correctly format it with an Oxford comma. <code><a href="../reference/inline_hook.html">inline_hook()</a></code> uses <code><a href="../reference/paste_oxford_list.html">paste_oxford_list()</a></code> to help you do just that!</p>
-<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">animals</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"cats"</span>, <span class="st">"dogs"</span>, <span class="st">"fish"</span><span class="op">)</span></span></code></pre></div>
 <p>Insert the string as inline code with <code>`r `</code>:</p>
 <blockquote>
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diff --git a/docs/dev/news/index.html b/docs/dev/news/index.html
index 33e4de1..ba35776 100644
--- a/docs/dev/news/index.html
+++ b/docs/dev/news/index.html
@@ -54,15 +54,15 @@ <h6 class="dropdown-header" data-toc-skip>Vignettes</h6>
 
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="0.2.1" id="schtools-021">schtools 0.2.1<a class="anchor" aria-label="anchor" href="#schtools-021"></a></h2><p class="text-muted">CRAN release: 2022-05-11</p>
-<ul><li>Improvements to <code><a href="../reference/parse_tax.html">parse_tax()</a></code> (<a href="https://github.com/SchlossLab/schtools/issues/32" class="external-link">#32</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>)<ul><li>New column <code>label_html</code> provides HTML to correctly italicize genus names but not OTU labels.</li>
+<ul><li>Improvements to <code><a href="../reference/parse_tax.html">parse_tax()</a></code> (<a href="https://github.com/SchlossLab/schtools/issues/32" class="external-link">#32</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>).<ul><li>New column <code>label_html</code> provides HTML to correctly italicize genus names but not OTU labels.</li>
 <li>Added an example to the intro vignette to demonstrate using this feature with <code>ggtext</code>.</li>
 <li>Changed taxonomy data frame column names to lowercase and reordered them.</li>
 </ul></li>
-<li>Minor documentation improvements (<a href="https://github.com/SchlossLab/schtools/issues/33" class="external-link">#33</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>)</li>
+<li>Minor documentation improvements (<a href="https://github.com/SchlossLab/schtools/issues/33" class="external-link">#33</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>).</li>
 </ul></div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="0.1.1" id="schtools-011">schtools 0.1.1<a class="anchor" aria-label="anchor" href="#schtools-011"></a></h2><p class="text-muted">CRAN release: 2022-03-11</p>
-<ul><li>Refactored <code><a href="../reference/read_tax.html">read_tax()</a></code> (<a href="https://github.com/SchlossLab/schtools/issues/30" class="external-link">#30</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>)<ul><li>New function <code><a href="../reference/parse_tax.html">parse_tax()</a></code> to separate the logic of reading and parsing taxonomy files.</li>
+<ul><li>Refactored <code><a href="../reference/read_tax.html">read_tax()</a></code> (<a href="https://github.com/SchlossLab/schtools/issues/30" class="external-link">#30</a>, <a href="https://github.com/kelly-sovacool" class="external-link">@kelly-sovacool</a>).<ul><li>New function <code><a href="../reference/parse_tax.html">parse_tax()</a></code> to separate the logic of reading and parsing taxonomy files.</li>
 <li>
 <code><a href="../reference/read_tax.html">read_tax()</a></code> now accepts a <code>sep</code> parameter to handle different delim file types (e.g. csv or tsv).</li>
 </ul></li>
diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml
index c5f597d..188c2eb 100644
--- a/docs/dev/pkgdown.yml
+++ b/docs/dev/pkgdown.yml
@@ -4,7 +4,7 @@ pkgdown_sha: ~
 articles:
   logo: logo.html
   introduction: introduction.html
-last_built: 2022-09-22T16:31Z
+last_built: 2022-09-26T21:08Z
 urls:
   reference: http://www.schlosslab.org/schtools/reference
   article: http://www.schlosslab.org/schtools/articles
diff --git a/docs/dev/reference/calc_relabun.html b/docs/dev/reference/calc_relabun.html
new file mode 100644
index 0000000..1e0681e
--- /dev/null
+++ b/docs/dev/reference/calc_relabun.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate OTU relative abundances from a shared file"><title>Calculate OTU relative abundances from a shared file — calc_relabun • schtools</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.1.3/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.1.3/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.rawgit.com/afeld/bootstrap-toc/v1.0.1/dist/bootstrap-toc.min.js"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate OTU relative abundances from a shared file — calc_relabun"><meta property="og:description" content="Calculate OTU relative abundances from a shared file"><meta property="og:image" content="http://www.schlosslab.org/schtools/logo.png"><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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+<![endif]--></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+    
+
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <a class="navbar-brand me-2" href="../index.html">schtools</a>
+
+    <small class="nav-text text-danger me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="In-development version">0.2.1.9000</small>
+
+    
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate OTU relative abundances from a shared file</h1>
+      <small class="dont-index">Source: <a href="https://github.com/SchlossLab/schtools/blob/HEAD/R/calculate.R" class="external-link"><code>R/calculate.R</code></a></small>
+      <div class="d-none name"><code>calc_relabun.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculate OTU relative abundances from a shared file</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calc_relabun</span><span class="op">(</span><span class="va">abs_abun_dat</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+    <dl><dt>abs_abun_dat</dt>
+<dd><p>a data frame from reading in a <a href="https://mothur.org/wiki/shared_file" class="external-link">shared file</a>.
+Should contain a <code>Group</code> column for sample names,
+<code>Otu</code> columns for absolute counts of each OTU,
+and rows as each sample.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    
+
+<p>a new data frame with OTU relative abundances in long format.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
+    <p>Kelly Sovacool <a href="mailto:sovacool@umich.edu">sovacool@umich.edu</a></p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">shared_dat</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_tsv</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.file.html" class="external-link">system.file</a></span><span class="op">(</span><span class="st">"extdata"</span>, <span class="st">"test.shared"</span>,</span></span>
+<span class="r-in"><span>                                          package <span class="op">=</span> <span class="st">"schtools"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="font-weight: bold;">Rows: </span><span style="color: #0000BB;">10</span> <span style="font-weight: bold;">Columns: </span><span style="color: #0000BB;">15</span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">──</span> <span style="font-weight: bold;">Column specification</span> <span style="color: #00BBBB;">────────────────────────────────────────────────────────</span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="font-weight: bold;">Delimiter:</span> "\t"</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BB0000;">chr</span>  (1): Group</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">dbl</span> (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0...</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Use `spec()` to retrieve the full column specification for this data.</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Specify the column types or set `show_col_types = FALSE` to quiet this message.</span>
+<span class="r-in"><span><span class="va">shared_dat</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu">calc_relabun</span><span class="op">(</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 120 × 3</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    sample otu      rel_abun</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> p1     Otu0001      0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> p1     Otu0003      0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> p1     Otu0004      0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> p1     Otu00008     0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> p1     Otu0044      0.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> p1     Otu0056      0.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> p1     Otu0057      0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> p1     Otu0058      0.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> p1     Otu0159      0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> p1     Otu0208      0.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 110 more rows</span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p></p><p>Developed by <a href="https://github.com/kelly-sovacool" class="external-link">Kelly Sovacool</a>, <a href="https://github.com/NLesniak" class="external-link">Nick Lesniak</a>, <a href="https://github.com/pschloss" class="external-link">Patrick Schloss</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
+</div>
+
+    </footer></div>
+
+  
+
+  
+
+  </body></html>
+
diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html
index 7cf9cae..8c421d4 100644
--- a/docs/dev/reference/index.html
+++ b/docs/dev/reference/index.html
@@ -70,7 +70,7 @@ <h6 class="dropdown-header" data-toc-skip>Vignettes</h6>
       </dl></div><div class="section level2">
       <h2 id="microbiome">Microbiome<a class="anchor" aria-label="anchor" href="#microbiome"></a></h2>
       
-      <p class="section-desc"></p><p>Read files &amp; handle microbiome-related data.</p>
+      <p class="section-desc"></p><p>Handle microbiome-related data.</p>
 
       
     </div><div id="" class="section level2">
@@ -95,6 +95,11 @@ <h2 id="microbiome">Microbiome<a class="anchor" aria-label="anchor" href="#micro
         <dd>Convert taxonomy strings into dataframe of labels based on taxonomic classification</dd>
       </dl><dl><dt>
           
+          <code><a href="calc_relabun.html">calc_relabun()</a></code> 
+        </dt>
+        <dd>Calculate OTU relative abundances from a shared file</dd>
+      </dl><dl><dt>
+          
           <code><a href="pool_taxon_counts.html">pool_taxon_counts()</a></code> 
         </dt>
         <dd>Pool OTU counts at a particular taxonomic level</dd>
diff --git a/docs/dev/search.json b/docs/dev/search.json
index 41f0938..01993b2 100644
--- a/docs/dev/search.json
+++ b/docs/dev/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/ code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https:// www.contributor-covenant.org/translations.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to schtools","title":"Contributing to schtools","text":"outlines propose change schtools. detailed info contributing , tidyverse packages, please see development contributing guide.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"","what":"Fixing typos","title":"Contributing to schtools","text":"can fix typos, spelling mistakes, grammatical errors documentation directly using GitHub web interface, long changes made source file. generally means ’ll need edit roxygen2 comments .R, .Rd file. can find .R file generates .Rd reading comment first line.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"bigger-changes","dir":"","previous_headings":"","what":"Bigger changes","title":"Contributing to schtools","text":"want make bigger change, ’s good idea first file issue make sure someone team agrees ’s needed. ’ve found bug, please file issue illustrates bug minimal reprex (also help write unit test, needed).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"pull-request-process","dir":"","previous_headings":"Bigger changes","what":"Pull request process","title":"Contributing to schtools","text":"Fork package clone onto computer. haven’t done , recommend using usethis::create_from_github(\"SchlossLab/schtools\", fork = TRUE). Install development dependences devtools::install_dev_deps(), make sure package passes R CMD check running devtools::check(). R CMD check doesn’t pass cleanly, ’s good idea ask help continuing. Create Git branch pull request (PR). recommend using usethis::pr_init(\"brief-description--change\"). Make changes, commit git, create PR running usethis::pr_push(), following prompts browser. title PR briefly describe change. body PR contain Fixes #issue-number. user-facing changes, add bullet top NEWS.md (.e. just first header). Follow style described https://style.tidyverse.org/news.html.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"code-style","dir":"","previous_headings":"Bigger changes","what":"Code style","title":"Contributing to schtools","text":"New code follow tidyverse style guide. can use styler package apply styles, please don’t restyle code nothing PR. use roxygen2, Markdown syntax, documentation. use testthat unit tests. Contributions test cases included easier accept.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing to schtools","text":"Please note schtools project released Contributor Code Conduct. contributing project agree abide terms.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"License","title":"License","text":"software licensed MIT License. Everything else licensed CC -SA license.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":"mit-license","dir":"","previous_headings":"","what":"MIT License","title":"License","text":"Copyright (c) 2021 Kelly L. Sovacool, Nick Lesniak, Patrick D. Schloss Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":"creative-commons-share-alike-license","dir":"","previous_headings":"","what":"Creative Commons Share Alike License","title":"License","text":"schtools logo licensed CC -SA 4.0 license. hammer poo images contained logo designed OpenMoji, open-source emoji icon project, also licensed CC -SA 4.0.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with schtools","title":"Getting help with schtools","text":"Thanks using schtools! filing issue, places explore pieces put together make process smooth possible.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with schtools","text":"Start making minimal reproducible example using reprex package. haven’t heard used reprex , ’re treat! Seriously, reprex make R-question-asking endeavors easier (pretty insane ROI five ten minutes ’ll take learn ’s ). additional reprex pointers, check Get help! section tidyverse site.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"where-to-ask","dir":"","previous_headings":"","what":"Where to ask?","title":"Getting help with schtools","text":"Armed reprex, next step figure ask. ’s question: start community.rstudio.com, /StackOverflow. people answer questions. ’s bug: ’re right place, file issue. ’re sure: let community help figure ! problem bug feature request, can easily return report . opening new issue, sure search issues pull requests make sure bug hasn’t reported /already fixed development version. default, search pre-populated :issue :open. can edit qualifiers (e.g. :pr, :closed) needed. example, ’d simply remove :open search issues repo, open closed.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"what-happens-next","dir":"","previous_headings":"","what":"What happens next?","title":"Getting help with schtools","text":"efficient possible, development tidyverse packages tends bursty, shouldn’t worry don’t get immediate response. Typically don’t look repo sufficient quantity issues accumulates, ’s burst intense activity focus efforts. makes development efficient avoids expensive context switching problems, cost taking longer get back . process makes good reprex particularly important might multiple months initial report start working . can’t reproduce bug, can’t fix !","code":""},{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"taxonomy-files","dir":"Articles","previous_headings":"Parsing mothur output files","what":"Taxonomy files","title":"Introduction to schtools","text":"mothur formats taxonomy files tab-separated values (tsv). can use read_tax() parse taxonomy data create separate columns taxonomic level. column label_html provides html correctly italicizes genus name without italicizing OTU label. can used ggtext::element_markdown() make nice plots:","code":"tax_filepath <- system.file(\"extdata\", \"test.taxonomy\", package = \"schtools\") tax_dat <- read_tax(tax_filepath) head(tax_dat) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html library(dplyr) #>  #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #>  #>     filter, lag #> The following objects are masked from 'package:base': #>  #>     intersect, setdiff, setequal, union library(ggplot2) library(ggtext) library(tidyr) set.seed(20220427) pick_random_bool <- function(n = nrow(tax_dat)) {     sample(c(TRUE, FALSE), n, replace = TRUE) } tax_dat %>%     select(label_html) %>%     mutate(sample1 = pick_random_bool(), sample2 = pick_random_bool(), sample3 = pick_random_bool()) %>%     pivot_longer(starts_with(\"sample\"), names_to = \"sample\", values_to = \"presence\") %>%     ggplot(aes(x = sample, y = label_html)) + geom_tile(colour = \"whitesmoke\", fill = \"white\",     size = 0.5) + geom_point(aes(color = presence), size = 4) + scale_fill_manual(values = c(`TRUE` = \"#08519C\",     `FALSE` = \"#F0F0F0\")) + scale_x_discrete(position = \"top\") + theme_minimal() +     theme(axis.text.y = element_markdown(), axis.title.y = element_blank(), axis.title.x = element_blank())"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"pooling-otu-counts-at-different-taxonomic-levels","dir":"Articles","previous_headings":"Parsing mothur output files > Taxonomy files","what":"Pooling OTU counts at different taxonomic levels","title":"Introduction to schtools","text":"common task repeat OTU-level analyses different taxonomic levels determine resolution optimal answering questions. ’ll need shared file, generated clustering sequences OTUs mothur, corresponding taxonomy file. Take look mothur documentation info generating files performing microbiome analyses. example, pool_taxon_counts() pools OTU counts shared file genus level returns new shared taxonomy data frames. can taxonomic level taxonomy data frame.","code":"tax_dat <- read_tax(system.file(\"extdata\", \"test.taxonomy\", package = \"schtools\")) shared_dat <- readr::read_tsv(system.file(\"extdata\", \"test.shared\", package = \"schtools\")) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. pool_taxon_counts(shared_dat, tax_dat, genus) #> $shared #> # A tibble: 10 × 13 #>    label Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 genus p1         10     0     0     0     2     0     1     0     1     0 #>  2 genus p10        10     1     0     1     0     1     0     1     1     1 #>  3 genus p2         10     1     1     0     1     0     1     0     0     1 #>  4 genus p3         10     0     1     0     1     0     0     1     0     1 #>  5 genus p4         10     1     1     1     0     0     0     0     0     0 #>  6 genus p5         10     1     1     0     1     0     0     0     0     1 #>  7 genus p6         10     1     0     1     1     1     1     0     0     1 #>  8 genus p7         10     0     0     0     1     1     0     1     0     1 #>  9 genus p8         10     0     1     1     2     0     0     1     1     0 #> 10 genus p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size genus                                          #>    <chr> <dbl> <chr>                                          #>  1 Otu01     5 Bacteroides                                    #>  2 Otu02     6 Porphyromonadaceae unclassified                #>  3 Otu03     5 Enterobacteriaceae unclassified                #>  4 Otu04    11 Bacteria unclassified                          #>  5 Otu05     3 Acinetobacter                                  #>  6 Otu06     3 Clostridium XlVa                               #>  7 Otu07     5 Betaproteobacteria unclassified                #>  8 Otu08     4 Clostridium XVIII                              #>  9 Otu09     7 Candidatus Saccharibacteria unclassified       #> 10 Otu10     5 Clostridiales Incertae Sedis XIII unclassified pool_taxon_counts(shared_dat, tax_dat, phylum) #> $shared #> # A tibble: 10 × 8 #>    label  Group numOtus  Otu1  Otu2  Otu3  Otu4  Otu5 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 phylum p1          5     0     0     2     2     0 #>  2 phylum p10         5     1     3     0     1     1 #>  3 phylum p2          5     2     0     1     2     1 #>  4 phylum p3          5     1     1     1     1     1 #>  5 phylum p4          5     2     1     0     1     0 #>  6 phylum p5          5     2     0     1     0     1 #>  7 phylum p6          5     1     2     1     1     1 #>  8 phylum p7          5     0     2     1     1     1 #>  9 phylum p8          5     1     2     2     1     0 #> 10 phylum p9          5     1     2     2     2     1 #>  #> $tax #> # A tibble: 5 × 3 #>   otu    size phylum                      #>   <chr> <dbl> <chr>                       #> 1 Otu1     11 Bacteroidetes               #> 2 Otu2     13 Proteobacteria              #> 3 Otu3     11 Bacteria unclassified       #> 4 Otu4     12 Firmicutes                  #> 5 Otu5      7 Candidatus Saccharibacteria"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"distance-files","dir":"Articles","previous_headings":"Parsing mothur output files","what":"Distance files","title":"Introduction to schtools","text":"distance file saved phylip-formatted lower triangle matrix mothur’s dist.seqs command, can read R read_dist():","code":"dist_filepath <- system.file(\"extdata\", \"sample.final.thetayc.0.03.lt.ave.dist\",     package = \"schtools\") dist_tbl <- read_dist(dist_filepath) head(dist_tbl) #> # A tibble: 6 × 3 #>   rows      columns   distances #>   <chr>     <chr>         <dbl> #> 1 104_1_D1  104_1_D0      0.893 #> 2 104_1_D10 104_1_D0      0.254 #> 3 104_1_D10 104_1_D1      0.922 #> 4 104_1_D2  104_1_D0      0.874 #> 5 104_1_D2  104_1_D1      0.109 #> 6 104_1_D2  104_1_D10     0.904"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"r-markdown-helpers-for-scientific-writing","dir":"Articles","previous_headings":"","what":"R Markdown helpers for scientific writing","title":"Introduction to schtools","text":"writing scientific papers R Markdown, often find using knitr chunk options miscellaneous helper functions. use favorite options like eval=TRUE, echo=FALSE, others, run set_knitr_opts() first chunk R Markdown document: also sets inline hook custom inline_hook() function, automatically formats numbers human-readable way inserts Oxford comma lists needed.","code":"```{r, include = FALSE} set_knitr_opts() ```"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"who-doesnt-love-an-oxford-comma","dir":"Articles","previous_headings":"R Markdown helpers for scientific writing","what":"Who doesn’t love an Oxford comma?","title":"Introduction to schtools","text":"writing R Markdown, may wish insert list vector inline correctly format Oxford comma. inline_hook() uses paste_oxford_list() help just ! Insert string inline code `r `: `r animals` common pets. Rendered output: cats, dogs, fish common pets.","code":"animals <- c(\"cats\", \"dogs\", \"fish\")"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"human-readable-numbers","dir":"Articles","previous_headings":"R Markdown helpers for scientific writing","what":"Human-readable numbers","title":"Introduction to schtools","text":"inline_hook() uses format_numbers() hood automatically format numbers human-readable format, rather display scientific notation. numbers `r c(1e-04, 1e-05, 1e-06)` precise, `r c(1e04, 1e05, 1e06)` large. Rendered output: numbers 0.0001, 0.00001, 0.000001 precise. 10,000, 100,000, 1,000,000 large.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/articles/logo.html","id":"emojis","dir":"Articles","previous_headings":"","what":"Emojis","title":"logo","text":"OpenMoji, licensed CC -SA 4.0 poop: https://openmoji.org/library/#search=poo&emoji=1F4A9 wrench: https://openmoji.org/library/#search=tool&emoji=1F527 hammer: https://openmoji.org/library/#search=tool&emoji=1F528","code":"poo_file <- here('vignettes', 'articles','1F4A9_color.png') wrench_file <- here('vignettes', 'articles', '1F527_color.png') hammer_file <- here('vignettes', 'articles', '1F528_color.png') img <- ggdraw() +     #draw_image(wrench_file, scale = 0.55, x = 0.195, y = 0.05) +     draw_image(hammer_file, scale = 0.7, x = -0.32, y = 0.05) +     draw_image(poo_file)  ggsave2(img,          filename = here('vignettes', 'articles', 'poo-hammer.png'),         height = 2,         width = 2,         units = 'in') img"},{"path":"http://www.schlosslab.org/schtools/dev/articles/logo.html","id":"schtools-logo","dir":"Articles","previous_headings":"","what":"Schtools Logo","title":"logo","text":"","code":"mint <- '#A2EAE0' pink <- '#FA9DC5' orange <- '#FFDBAD' black <- '#000000' logo_filename <-  here('vignettes', 'articles', 'schtools-logo.png') sticker(img, package = 'schtools',          s_x = 1, s_y = 0.85, s_width = 1.6, s_height = 1.6,         p_x = 1, p_y = 1.55, p_color = black,          p_size = 23, p_family = 'Source Sans Pro',          h_fill = mint, h_color = orange,         url = 'schlosslab.org/schtools', u_size = 3.5,         filename = logo_filename) ggdraw() +     draw_image(logo_filename)"},{"path":"http://www.schlosslab.org/schtools/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Kelly Sovacool. Author, maintainer. Nick Lesniak. Author. Patrick Schloss. Author. Sarah Lucas. Contributor. Courtney Armour. Contributor. Jacqueline Moltzau. Contributor. Andrew Hannah. Contributor. Nielson Baxter. Contributor. Alyxandria Schubert. Contributor. Kathryn Iverson. Contributor.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Sovacool K, Lesniak N, Schloss P (2022). schtools: Schloss Lab Tools Reproducible Microbiome Research. http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools.","code":"@Manual{,   title = {schtools: Schloss Lab Tools for Reproducible Microbiome Research},   author = {Kelly Sovacool and Nick Lesniak and Patrick Schloss},   year = {2022},   note = {http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools}, }"},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"schtools-","dir":"","previous_headings":"","what":"Schloss Lab Tools for Reproducible Microbiome Research","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Schloss Lab Tools Reproducible Microbiome Research 💩 collection useful functions example code created used Schloss Lab reproducible microbiome research. Perform common tasks like read output files mothur, tidy microbiome data, format rmarkdown documents publication. See website information, documentation, examples.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"can install latest release CRAN: development version GitHub : install terminal using conda mamba:","code":"install.packages(\"schtools\") # install.packages(\"devtools\") devtools::install_github(\"SchlossLab/schtools\") mamba install -c conda-forge r-schtools"},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Check introductory vignette quick start tutorial take look reference documentation comprehensive list functions.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"help--contributing","dir":"","previous_headings":"","what":"Help & Contributing","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"questions, create new post Discussions. come across bug, open issue include minimal reproducible example. ’d like contribute, see guidelines .","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Please note schtools project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"schtools package licensed MIT license. logo licensed CC -SA license.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"cite schtools publications, use:  Sovacool K, Lesniak N, Schloss P (2022). schtools: Schloss Lab Tools Reproducible Microbiome Research. http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools. BibTeX entry LaTeX users :","code":"@Manual{,   title = {schtools: Schloss Lab Tools for Reproducible Microbiome Research},   author = {Kelly Sovacool and Nick Lesniak and Patrick Schloss},   year = {2022},   note = {http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools}, }"},{"path":"http://www.schlosslab.org/schtools/dev/pull_request_template.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"NA","text":"Resolves # .","code":""},{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/pull_request_template.html","id":"checklist","dir":"","previous_headings":"","what":"Checklist","title":"NA","text":"(Strikethrough points applicable.) Write unit tests new functionality. Update roxygen comments & vignettes API changes. Update NEWS.md includes user-facing changes. check workflow succeeds recent commit.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether two numeric vectors are close enough for gov't work. — close_enough","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"like dplyr::near() except much less precision.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"","code":"close_enough(x, y, tol = 10^-3)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"x numeric vector y another numeric vector tol tolerance (default: 10^-3.)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"TRUE numbers near enough within tolerance, otherwise FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"","code":"close_enough(0.0004, 0) #> [1] TRUE close_enough(0.8887, 0.8884) #> [1] TRUE close_enough(1, 2) #> [1] FALSE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":null,"dir":"Reference","previous_headings":"","what":"Format human-readable numbers. — format_number","title":"Format human-readable numbers. — format_number","text":"Pastes formatted x numeric, otherwise x unmodified. Circumvents R's automatic scientific notation. number nearly whole (see is_nearly_whole()), rounded zero decimal places. Otherwise, numbers >= 1 rounded 1 decimal place; numbers < 1 rounded 2 significant digits.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format human-readable numbers. — format_number","text":"","code":"format_number(x, nsmall = 1, signif_precise = 2)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format human-readable numbers. — format_number","text":"x inline code nsmall number digits decimal point round x nearly whole x >= 1. signif_precise number significant digits use x nearly whole","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format human-readable numbers. — format_number","text":"formatted x numeric, otherwise x unmodified.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Format human-readable numbers. — format_number","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format human-readable numbers. — format_number","text":"","code":"format_number(0.0256) #> [1] \"0.026\" format_number(.Machine$double.eps^0.5) #> [1] \"0.000000015\" format_number(100000.08) #> [1] \"100,000.1\" format_number(1.00000000000000000001) #> [1] \"1\" format_number(\"this is a string\") #> [1] \"this is a string\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":null,"dir":"Reference","previous_headings":"","what":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"Inline hook knitr paste human-readable numbers nice lists.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"","code":"inline_hook(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"x just anything","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"string element x separated comma numbers human-readable format.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"Kelly Sovacool sovacool@umich.edu Pat Schloss pschloss@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"","code":"inline_hook(c(1.2993992, 0.03, 1000)) #> [1] \"1.3, 0.03, and 1,000\" inline_hook(c(\"cats\", \"dogs\")) #> [1] \"cats and dogs\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks whether a number is near to a whole number — is_nearly_whole","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"Checks whether number near whole number","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"","code":"is_nearly_whole(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"x numeric","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"TRUE FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"","code":"is_nearly_whole(.Machine$double.eps^0.5) #> [1] FALSE is_nearly_whole(.Machine$double.eps^0.6) #> [1] TRUE is_nearly_whole(1) #> [1] TRUE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether all elements given are sorted in non-descending order — is_nondesc","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"Check whether elements given sorted non-descending order","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"","code":"is_nondesc(...)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"... anything!","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"TRUE elements sorted non-descending order, otherwise FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"","code":"is_nondesc(1, 2, 3) #> [1] TRUE is_nondesc(c(1, 2), 3) #> [1] TRUE is_nondesc(6, 4, 1) #> [1] FALSE is_nondesc(\"a\", \"b\", \"c\") #> [1] TRUE is_nondesc(c(\"z\", \"y\")) #> [1] FALSE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":null,"dir":"Reference","previous_headings":"","what":"Install & load packages — load_deps","title":"Install & load packages — load_deps","text":"Install & load packages","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Install & load packages — load_deps","text":"","code":"load_deps(...)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Install & load packages — load_deps","text":"... package names install & load","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Install & load packages — load_deps","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":null,"dir":"Reference","previous_headings":"","what":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"function checks whether log file specified Snakemake rule. , directs output, messages, warnings, errors rule-specific log file. See Snakemake documentation log files R scripts details.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"","code":"log_snakemake(quiet = TRUE)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"quiet Silence messages status snakemake object log file (default: TRUE).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"","code":"# The Snakemake object doesn't exist, so nothing happens log_snakemake(quiet = FALSE) #> No Snakemake object exists, so all output will print as usual"},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"Convert taxonomy strings dataframe labels based taxonomic classification","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"","code":"parse_tax(dat)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"dat dataframe mothur taxonomy file columns OTU, Size, Taxonomy","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"wide dataframe taxonomic labels","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"Nick Lesniak, nlesniak@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"","code":"taxonomy_filepath <- system.file(\"extdata\",   \"test.taxonomy\",   package = \"schtools\" ) taxonomy_tbl <- read_tax(taxonomy_filepath) head(taxonomy_tbl) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html"},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a prose string from a list or vector — paste_oxford_list","title":"Create a prose string from a list or vector — paste_oxford_list","text":"word '' inserted last element Oxford comma used.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a prose string from a list or vector — paste_oxford_list","text":"","code":"paste_oxford_list(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a prose string from a list or vector — paste_oxford_list","text":"x list vector","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a prose string from a list or vector — paste_oxford_list","text":"string element x separated comma","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Create a prose string from a list or vector — paste_oxford_list","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a prose string from a list or vector — paste_oxford_list","text":"","code":"paste_oxford_list(1:3) #> [1] \"1, 2, and 3\" paste_oxford_list(c(\"cats\", \"dogs\", \"turtles\")) #> [1] \"cats, dogs, and turtles\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"Enables comparing analyses different taxonomic resolutions, seen https://doi.org/10.1128/mbio.03161-21. Implementation adapted .","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"","code":"pool_taxon_counts(otu_shared_dat, otu_tax_dat, taxon_level)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"otu_shared_dat data frame created shared file OTU level. otu_tax_dat data frame created taxonomy file OTU level. Must dataset shared file. taxon_level taxonomic level pool OTUs (kingdom, phylum, class, order, family, genus). column otu_tax_dat.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"shared data frame OTUs specified taxon_level corresponding taxonomy dataframe new OTU numbers.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"Kelly Sovacool, sovacool@umich.edu Pat Schloss pschloss@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"","code":"tax_dat <- read_tax(system.file(\"extdata\", \"test.taxonomy\",   package = \"schtools\" )) shared_dat <- readr::read_tsv(system.file(\"extdata\", \"test.shared\",   package = \"schtools\" )) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. pool_taxon_counts(shared_dat, tax_dat, genus) #> $shared #> # A tibble: 10 × 13 #>    label Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 genus p1         10     0     0     0     2     0     1     0     1     0 #>  2 genus p10        10     1     0     1     0     1     0     1     1     1 #>  3 genus p2         10     1     1     0     1     0     1     0     0     1 #>  4 genus p3         10     0     1     0     1     0     0     1     0     1 #>  5 genus p4         10     1     1     1     0     0     0     0     0     0 #>  6 genus p5         10     1     1     0     1     0     0     0     0     1 #>  7 genus p6         10     1     0     1     1     1     1     0     0     1 #>  8 genus p7         10     0     0     0     1     1     0     1     0     1 #>  9 genus p8         10     0     1     1     2     0     0     1     1     0 #> 10 genus p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size genus                                          #>    <chr> <dbl> <chr>                                          #>  1 Otu01     5 Bacteroides                                    #>  2 Otu02     6 Porphyromonadaceae unclassified                #>  3 Otu03     5 Enterobacteriaceae unclassified                #>  4 Otu04    11 Bacteria unclassified                          #>  5 Otu05     3 Acinetobacter                                  #>  6 Otu06     3 Clostridium XlVa                               #>  7 Otu07     5 Betaproteobacteria unclassified                #>  8 Otu08     4 Clostridium XVIII                              #>  9 Otu09     7 Candidatus Saccharibacteria unclassified       #> 10 Otu10     5 Clostridiales Incertae Sedis XIII unclassified #>  pool_taxon_counts(shared_dat, tax_dat, family) #> $shared #> # A tibble: 10 × 13 #>    label  Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 family p1         10     0     0     0     2     0     1     0     1     0 #>  2 family p10        10     1     0     1     0     1     0     1     1     1 #>  3 family p2         10     1     1     0     1     0     1     0     0     1 #>  4 family p3         10     0     1     0     1     0     0     1     0     1 #>  5 family p4         10     1     1     1     0     0     0     0     0     0 #>  6 family p5         10     1     1     0     1     0     0     0     0     1 #>  7 family p6         10     1     0     1     1     1     1     0     0     1 #>  8 family p7         10     0     0     0     1     1     0     1     0     1 #>  9 family p8         10     0     1     1     2     0     0     1     1     0 #> 10 family p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size family                                   #>    <chr> <dbl> <chr>                                    #>  1 Otu01     5 Bacteroidaceae                           #>  2 Otu02     6 Porphyromonadaceae                       #>  3 Otu03     5 Enterobacteriaceae                       #>  4 Otu04    11 Bacteria unclassified                    #>  5 Otu05     3 Moraxellaceae                            #>  6 Otu06     3 Lachnospiraceae                          #>  7 Otu07     5 Betaproteobacteria unclassified          #>  8 Otu08     4 Erysipelotrichaceae                      #>  9 Otu09     7 Candidatus Saccharibacteria unclassified #> 10 Otu10     5 Clostridiales Incertae Sedis XIII        #>  pool_taxon_counts(shared_dat, tax_dat, phylum) #> $shared #> # A tibble: 10 × 8 #>    label  Group numOtus  Otu1  Otu2  Otu3  Otu4  Otu5 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 phylum p1          5     0     0     2     2     0 #>  2 phylum p10         5     1     3     0     1     1 #>  3 phylum p2          5     2     0     1     2     1 #>  4 phylum p3          5     1     1     1     1     1 #>  5 phylum p4          5     2     1     0     1     0 #>  6 phylum p5          5     2     0     1     0     1 #>  7 phylum p6          5     1     2     1     1     1 #>  8 phylum p7          5     0     2     1     1     1 #>  9 phylum p8          5     1     2     2     1     0 #> 10 phylum p9          5     1     2     2     2     1 #>  #> $tax #> # A tibble: 5 × 3 #>   otu    size phylum                      #>   <chr> <dbl> <chr>                       #> 1 Otu1     11 Bacteroidetes               #> 2 Otu2     13 Proteobacteria              #> 3 Otu3     11 Bacteria unclassified       #> 4 Otu4     12 Firmicutes                  #> 5 Otu5      7 Candidatus Saccharibacteria #>"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":null,"dir":"Reference","previous_headings":"","what":"Read in lower left triangular matrix from file — read_dist","title":"Read in lower left triangular matrix from file — read_dist","text":"Read lower left triangular matrix file","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read in lower left triangular matrix from file — read_dist","text":"","code":"read_dist(dist_filename)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read in lower left triangular matrix from file — read_dist","text":"dist_filename filename lower left triangular matrix (.dist)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read in lower left triangular matrix from file — read_dist","text":"distance matrix tibble","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Read in lower left triangular matrix from file — read_dist","text":"Nick Lesniak, nlesniak@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read in lower left triangular matrix from file — read_dist","text":"","code":"dist_filepath <- system.file(\"extdata\",   \"sample.final.thetayc.0.03.lt.ave.dist\",   package = \"schtools\" ) dist_tbl <- read_dist(dist_filepath) head(dist_tbl) #> # A tibble: 6 × 3 #>   rows      columns   distances #>   <chr>     <chr>         <dbl> #> 1 104_1_D1  104_1_D0      0.893 #> 2 104_1_D10 104_1_D0      0.254 #> 3 104_1_D10 104_1_D1      0.922 #> 4 104_1_D2  104_1_D0      0.874 #> 5 104_1_D2  104_1_D1      0.109 #> 6 104_1_D2  104_1_D10     0.904"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":null,"dir":"Reference","previous_headings":"","what":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"Read taxonomy file parse wide dataframe","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"","code":"read_tax(taxonomy_filename, sep = \"\\t\")"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"taxonomy_filename filename taxonomy file sep Character separates fields taxonomy file. (Default: \\t).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"dataframe taxonomic labels, formatted parse_tax()","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"Nick Lesniak, nlesniak@umich.edu Kelly Sovacool, sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"","code":"taxonomy_filepath <- system.file(\"extdata\",   \"test.taxonomy\",   package = \"schtools\" ) taxonomy_tbl <- read_tax(taxonomy_filepath) head(taxonomy_tbl) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html"},{"path":"http://www.schlosslab.org/schtools/dev/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"dplyr pipe — reexports","title":"dplyr pipe — reexports","text":"objects imported packages. Follow links see documentation. dplyr %>% rlang .data","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/schtools.html","id":null,"dir":"Reference","previous_headings":"","what":"schtools: Schloss Lab Tools for Reproducible Microbiome Research — schtools","title":"schtools: Schloss Lab Tools for Reproducible Microbiome Research — schtools","text":"collection useful functions example code created used Schloss Lab reproducible microbiome research. Perform common tasks like read files created mothur, tidy microbiome data, format rmarkdown documents publication. See website information, documentation, examples.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":null,"dir":"Reference","previous_headings":"","what":"Set knitr chunk options & inline hook — set_knitr_opts","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"Call function setup chunk R Markdown files.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"","code":"set_knitr_opts()"},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-021","dir":"Changelog","previous_headings":"","what":"schtools 0.2.1","title":"schtools 0.2.1","text":"CRAN release: 2022-05-11 New column label_html provides HTML correctly italicize genus names OTU labels. Added example intro vignette demonstrate using feature ggtext. Changed taxonomy data frame column names lowercase reordered . Minor documentation improvements (#33, @kelly-sovacool)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-011","dir":"Changelog","previous_headings":"","what":"schtools 0.1.1","title":"schtools 0.1.1","text":"CRAN release: 2022-03-11 New function parse_tax() separate logic reading parsing taxonomy files. read_tax() now accepts sep parameter handle different delim file types (e.g. csv tsv). schtools now logo! (#31, @kelly-sovacool)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-010","dir":"Changelog","previous_headings":"","what":"schtools 0.1.0","title":"schtools 0.1.0","text":"CRAN release: 2021-11-22 first release version schtools! 🎉 can now install schtools CRAN! Added NEWS.md file track changes package. read_dist() (#10, @NLesniak) read_tax() (#22, @NLesniak) set_knitr_opts() (#21, @pschloss, @kelly-sovacool) inline_hook() (#21, @pschloss, @kelly-sovacool) paste_oxford_list() (#21, @pschloss, @kelly-sovacool) format_number() (#24, @pschloss, @kelly-sovacool) is_nearly_whole() (#24, @pschloss, @kelly-sovacool) close_enough() (#26, @kelly-sovacool) is_nondesc() (#28, @kelly-sovacool) introduction","code":""}]
+[{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/ code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https:// www.contributor-covenant.org/translations.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to schtools","title":"Contributing to schtools","text":"outlines propose change schtools. detailed info contributing , tidyverse packages, please see development contributing guide.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"","what":"Fixing typos","title":"Contributing to schtools","text":"can fix typos, spelling mistakes, grammatical errors documentation directly using GitHub web interface, long changes made source file. generally means ’ll need edit roxygen2 comments .R, .Rd file. can find .R file generates .Rd reading comment first line.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"bigger-changes","dir":"","previous_headings":"","what":"Bigger changes","title":"Contributing to schtools","text":"want make bigger change, ’s good idea first file issue make sure someone team agrees ’s needed. ’ve found bug, please file issue illustrates bug minimal reprex (also help write unit test, needed).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"pull-request-process","dir":"","previous_headings":"Bigger changes","what":"Pull request process","title":"Contributing to schtools","text":"Fork package clone onto computer. haven’t done , recommend using usethis::create_from_github(\"SchlossLab/schtools\", fork = TRUE). Install development dependences devtools::install_dev_deps(), make sure package passes R CMD check running devtools::check(). R CMD check doesn’t pass cleanly, ’s good idea ask help continuing. Create Git branch pull request (PR). recommend using usethis::pr_init(\"brief-description--change\"). Make changes, commit git, create PR running usethis::pr_push(), following prompts browser. title PR briefly describe change. body PR contain Fixes #issue-number. user-facing changes, add bullet top NEWS.md (.e. just first header). Follow style described https://style.tidyverse.org/news.html.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"code-style","dir":"","previous_headings":"Bigger changes","what":"Code style","title":"Contributing to schtools","text":"New code follow tidyverse style guide. can use styler package apply styles, please don’t restyle code nothing PR. use roxygen2, Markdown syntax, documentation. use testthat unit tests. Contributions test cases included easier accept.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing to schtools","text":"Please note schtools project released Contributor Code Conduct. contributing project agree abide terms.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"License","title":"License","text":"software licensed MIT License. Everything else licensed CC -SA license.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":"mit-license","dir":"","previous_headings":"","what":"MIT License","title":"License","text":"Copyright (c) 2021 Kelly L. Sovacool, Nick Lesniak, Patrick D. Schloss Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/LICENSE.html","id":"creative-commons-share-alike-license","dir":"","previous_headings":"","what":"Creative Commons Share Alike License","title":"License","text":"schtools logo licensed CC -SA 4.0 license. hammer poo images contained logo designed OpenMoji, open-source emoji icon project, also licensed CC -SA 4.0.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with schtools","title":"Getting help with schtools","text":"Thanks using schtools! filing issue, places explore pieces put together make process smooth possible.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with schtools","text":"Start making minimal reproducible example using reprex package. haven’t heard used reprex , ’re treat! Seriously, reprex make R-question-asking endeavors easier (pretty insane ROI five ten minutes ’ll take learn ’s ). additional reprex pointers, check Get help! section tidyverse site.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"where-to-ask","dir":"","previous_headings":"","what":"Where to ask?","title":"Getting help with schtools","text":"Armed reprex, next step figure ask. ’s question: start community.rstudio.com, /StackOverflow. people answer questions. ’s bug: ’re right place, file issue. ’re sure: let community help figure ! problem bug feature request, can easily return report . opening new issue, sure search issues pull requests make sure bug hasn’t reported /already fixed development version. default, search pre-populated :issue :open. can edit qualifiers (e.g. :pr, :closed) needed. example, ’d simply remove :open search issues repo, open closed.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/SUPPORT.html","id":"what-happens-next","dir":"","previous_headings":"","what":"What happens next?","title":"Getting help with schtools","text":"efficient possible, development tidyverse packages tends bursty, shouldn’t worry don’t get immediate response. Typically don’t look repo sufficient quantity issues accumulates, ’s burst intense activity focus efforts. makes development efficient avoids expensive context switching problems, cost taking longer get back . process makes good reprex particularly important might multiple months initial report start working . can’t reproduce bug, can’t fix !","code":""},{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"calculate-relative-abundances","dir":"Articles","previous_headings":"Handling mothur data","what":"Calculate relative abundances","title":"Introduction to schtools","text":"can read shared file calculate relative abundances calc_relabun(): calc_relabun() returns data frame long format. can use tidyr::pivot_wider() convert wide format: can see relative abundances sample sum 1:","code":"shared_dat <- read_tsv(system.file(\"extdata\", \"test.shared\", package = \"schtools\")) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. relabun_dat <- shared_dat %>%     calc_relabun() head(relabun_dat) #> # A tibble: 6 × 3 #>   sample otu      rel_abun #>   <chr>  <chr>       <dbl> #> 1 p1     Otu0001      0    #> 2 p1     Otu0003      0    #> 3 p1     Otu0004      0    #> 4 p1     Otu00008     0    #> 5 p1     Otu0044      0.25 #> 6 p1     Otu0056      0.25 wide_dat <- relabun_dat %>%     pivot_wider(names_from = \"otu\", values_from = \"rel_abun\") head(wide_dat) #> # A tibble: 6 × 13 #>   sample Otu0001 Otu0003 Otu0004 Otu00…¹ Otu0044 Otu0056 Otu0057 Otu0058 Otu0159 #>   <chr>    <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl> #> 1 p1       0        0      0       0       0.25    0.25    0       0.25      0   #> 2 p2       0.167    0      0.167   0       0.167   0       0       0.167     0   #> 3 p3       0        0.2    0       0       0.2     0       0       0         0.2 #> 4 p4       0.25     0.25   0       0.25    0       0       0       0         0   #> 5 p5       0.25     0      0.25    0       0.25    0       0       0         0   #> 6 p6       0.167    0      0       0.167   0       0.167   0.167   0.167     0   #> # … with 3 more variables: Otu0208 <dbl>, Otu0328 <dbl>, Otu0329 <dbl>, and #> #   abbreviated variable name ¹​Otu00008 wide_dat %>%     select(starts_with(\"Otu\")) %>%     rowSums() #>  [1] 1 1 1 1 1 1 1 1 1 1"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"taxonomy-files","dir":"Articles","previous_headings":"Handling mothur data","what":"Taxonomy files","title":"Introduction to schtools","text":"mothur formats taxonomy files tab-separated values (tsv). can use read_tax() parse taxonomy data create separate columns taxonomic level. column label_html provides html correctly italicizes genus name without italicizing OTU label. can used ggtext::element_markdown() make nice plots:","code":"tax_dat <- read_tax(system.file(\"extdata\", \"test.taxonomy\", package = \"schtools\")) head(tax_dat) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html library(ggtext) set.seed(20220427)  relabun_dat %>%     mutate(sample_num = stringr::str_remove(sample, \"p\") %>%         as.integer(), treatment = case_when(sample_num%%2 == 1 ~ \"A\", TRUE ~ \"B\")) %>%     inner_join(tax_dat, by = \"otu\") %>%     ggplot(aes(x = rel_abun, y = label_html, color = treatment)) + geom_jitter(alpha = 0.7,     height = 0.2) + labs(x = \"Relative abundance\", y = \"\") + theme_minimal() + theme(axis.text.y = element_markdown())"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"pooling-otu-counts-at-different-taxonomic-levels","dir":"Articles","previous_headings":"Handling mothur data > Taxonomy files","what":"Pooling OTU counts at different taxonomic levels","title":"Introduction to schtools","text":"common task repeat OTU-level analyses different taxonomic levels determine resolution optimal answering questions. ’ll need shared file, generated clustering sequences OTUs mothur, corresponding taxonomy file. Take look mothur documentation info generating files performing microbiome analyses. example, pool_taxon_counts() pools OTU counts shared file genus level returns new shared taxonomy data frames. can taxonomic level taxonomy data frame.","code":"tax_dat <- read_tax(system.file(\"extdata\", \"test.taxonomy\", package = \"schtools\")) shared_dat <- readr::read_tsv(system.file(\"extdata\", \"test.shared\", package = \"schtools\")) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. pool_taxon_counts(shared_dat, tax_dat, genus) #> $shared #> # A tibble: 10 × 13 #>    label Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 genus p1         10     0     0     0     2     0     1     0     1     0 #>  2 genus p10        10     1     0     1     0     1     0     1     1     1 #>  3 genus p2         10     1     1     0     1     0     1     0     0     1 #>  4 genus p3         10     0     1     0     1     0     0     1     0     1 #>  5 genus p4         10     1     1     1     0     0     0     0     0     0 #>  6 genus p5         10     1     1     0     1     0     0     0     0     1 #>  7 genus p6         10     1     0     1     1     1     1     0     0     1 #>  8 genus p7         10     0     0     0     1     1     0     1     0     1 #>  9 genus p8         10     0     1     1     2     0     0     1     1     0 #> 10 genus p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size genus                                          #>    <chr> <dbl> <chr>                                          #>  1 Otu01     5 Bacteroides                                    #>  2 Otu02     6 Porphyromonadaceae unclassified                #>  3 Otu03     5 Enterobacteriaceae unclassified                #>  4 Otu04    11 Bacteria unclassified                          #>  5 Otu05     3 Acinetobacter                                  #>  6 Otu06     3 Clostridium XlVa                               #>  7 Otu07     5 Betaproteobacteria unclassified                #>  8 Otu08     4 Clostridium XVIII                              #>  9 Otu09     7 Candidatus Saccharibacteria unclassified       #> 10 Otu10     5 Clostridiales Incertae Sedis XIII unclassified pool_taxon_counts(shared_dat, tax_dat, phylum) #> $shared #> # A tibble: 10 × 8 #>    label  Group numOtus  Otu1  Otu2  Otu3  Otu4  Otu5 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 phylum p1          5     0     0     2     2     0 #>  2 phylum p10         5     1     3     0     1     1 #>  3 phylum p2          5     2     0     1     2     1 #>  4 phylum p3          5     1     1     1     1     1 #>  5 phylum p4          5     2     1     0     1     0 #>  6 phylum p5          5     2     0     1     0     1 #>  7 phylum p6          5     1     2     1     1     1 #>  8 phylum p7          5     0     2     1     1     1 #>  9 phylum p8          5     1     2     2     1     0 #> 10 phylum p9          5     1     2     2     2     1 #>  #> $tax #> # A tibble: 5 × 3 #>   otu    size phylum                      #>   <chr> <dbl> <chr>                       #> 1 Otu1     11 Bacteroidetes               #> 2 Otu2     13 Proteobacteria              #> 3 Otu3     11 Bacteria unclassified       #> 4 Otu4     12 Firmicutes                  #> 5 Otu5      7 Candidatus Saccharibacteria"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"distance-files","dir":"Articles","previous_headings":"Handling mothur data","what":"Distance files","title":"Introduction to schtools","text":"distance file saved phylip-formatted lower triangle matrix mothur’s dist.seqs command, can read R read_dist():","code":"dist_filepath <- system.file(\"extdata\", \"sample.final.thetayc.0.03.lt.ave.dist\",     package = \"schtools\") dist_tbl <- read_dist(dist_filepath) head(dist_tbl) #> # A tibble: 6 × 3 #>   rows      columns   distances #>   <chr>     <chr>         <dbl> #> 1 104_1_D1  104_1_D0      0.893 #> 2 104_1_D10 104_1_D0      0.254 #> 3 104_1_D10 104_1_D1      0.922 #> 4 104_1_D2  104_1_D0      0.874 #> 5 104_1_D2  104_1_D1      0.109 #> 6 104_1_D2  104_1_D10     0.904"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"r-markdown-helpers-for-scientific-writing","dir":"Articles","previous_headings":"","what":"R Markdown helpers for scientific writing","title":"Introduction to schtools","text":"writing scientific papers R Markdown, often find using knitr chunk options miscellaneous helper functions. use favorite options like eval=TRUE, echo=FALSE, others, run set_knitr_opts() first chunk R Markdown document: also sets inline hook custom inline_hook() function, automatically formats numbers human-readable way inserts Oxford comma lists needed.","code":"```{r, include = FALSE} set_knitr_opts() ```"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"who-doesnt-love-an-oxford-comma","dir":"Articles","previous_headings":"R Markdown helpers for scientific writing","what":"Who doesn’t love an Oxford comma?","title":"Introduction to schtools","text":"writing R Markdown, may wish insert list vector inline correctly format Oxford comma. inline_hook() uses paste_oxford_list() help just ! Insert string inline code `r `: `r animals` common pets. Rendered output: cats, dogs, fish common pets.","code":"animals <- c(\"cats\", \"dogs\", \"fish\")"},{"path":"http://www.schlosslab.org/schtools/dev/articles/introduction.html","id":"human-readable-numbers","dir":"Articles","previous_headings":"R Markdown helpers for scientific writing","what":"Human-readable numbers","title":"Introduction to schtools","text":"inline_hook() uses format_numbers() hood automatically format numbers human-readable format, rather display scientific notation. numbers `r c(1e-04, 1e-05, 1e-06)` precise, `r c(1e04, 1e05, 1e06)` large. Rendered output: numbers 0.0001, 0.00001, 0.000001 precise. 10,000, 100,000, 1,000,000 large.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/articles/logo.html","id":"emojis","dir":"Articles","previous_headings":"","what":"Emojis","title":"logo","text":"OpenMoji, licensed CC -SA 4.0 poop: https://openmoji.org/library/#search=poo&emoji=1F4A9 wrench: https://openmoji.org/library/#search=tool&emoji=1F527 hammer: https://openmoji.org/library/#search=tool&emoji=1F528","code":"poo_file <- here('vignettes', 'articles','1F4A9_color.png') wrench_file <- here('vignettes', 'articles', '1F527_color.png') hammer_file <- here('vignettes', 'articles', '1F528_color.png') img <- ggdraw() +     #draw_image(wrench_file, scale = 0.55, x = 0.195, y = 0.05) +     draw_image(hammer_file, scale = 0.7, x = -0.32, y = 0.05) +     draw_image(poo_file)  ggsave2(img,          filename = here('vignettes', 'articles', 'poo-hammer.png'),         height = 2,         width = 2,         units = 'in') img"},{"path":"http://www.schlosslab.org/schtools/dev/articles/logo.html","id":"schtools-logo","dir":"Articles","previous_headings":"","what":"Schtools Logo","title":"logo","text":"","code":"mint <- '#A2EAE0' pink <- '#FA9DC5' orange <- '#FFDBAD' black <- '#000000' logo_filename <-  here('vignettes', 'articles', 'schtools-logo.png') sticker(img, package = 'schtools',          s_x = 1, s_y = 0.85, s_width = 1.6, s_height = 1.6,         p_x = 1, p_y = 1.55, p_color = black,          p_size = 23, p_family = 'Source Sans Pro',          h_fill = mint, h_color = orange,         url = 'schlosslab.org/schtools', u_size = 3.5,         filename = logo_filename) ggdraw() +     draw_image(logo_filename)"},{"path":"http://www.schlosslab.org/schtools/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Kelly Sovacool. Author, maintainer. Nick Lesniak. Author. Patrick Schloss. Author. Sarah Lucas. Contributor. Courtney Armour. Contributor. Jacqueline Moltzau. Contributor. Andrew Hannah. Contributor. Nielson Baxter. Contributor. Alyxandria Schubert. Contributor. Kathryn Iverson. Contributor.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Sovacool K, Lesniak N, Schloss P (2022). schtools: Schloss Lab Tools Reproducible Microbiome Research. http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools.","code":"@Manual{,   title = {schtools: Schloss Lab Tools for Reproducible Microbiome Research},   author = {Kelly Sovacool and Nick Lesniak and Patrick Schloss},   year = {2022},   note = {http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools}, }"},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"schtools-","dir":"","previous_headings":"","what":"Schloss Lab Tools for Reproducible Microbiome Research","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Schloss Lab Tools Reproducible Microbiome Research 💩 collection useful functions example code created used Schloss Lab reproducible microbiome research. Perform common tasks like read output files mothur, tidy microbiome data, format rmarkdown documents publication. See website information, documentation, examples.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"can install latest release CRAN: development version GitHub : install terminal using conda mamba:","code":"install.packages(\"schtools\") # install.packages(\"devtools\") devtools::install_github(\"SchlossLab/schtools\") mamba install -c conda-forge r-schtools"},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Check introductory vignette quick start tutorial take look reference documentation comprehensive list functions.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"help--contributing","dir":"","previous_headings":"","what":"Help & Contributing","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"questions, create new post Discussions. come across bug, open issue include minimal reproducible example. ’d like contribute, see guidelines .","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"Please note schtools project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"schtools package licensed MIT license. logo licensed CC -SA license.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Schloss Lab Tools for Reproducible Microbiome Research","text":"cite schtools publications, use:  Sovacool K, Lesniak N, Schloss P (2022). schtools: Schloss Lab Tools Reproducible Microbiome Research. http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools. BibTeX entry LaTeX users :","code":"@Manual{,   title = {schtools: Schloss Lab Tools for Reproducible Microbiome Research},   author = {Kelly Sovacool and Nick Lesniak and Patrick Schloss},   year = {2022},   note = {http://www.schlosslab.org/schtools/, https://github.com/SchlossLab/schtools}, }"},{"path":"http://www.schlosslab.org/schtools/dev/pull_request_template.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"NA","text":"Resolves # .","code":""},{"path":[]},{"path":"http://www.schlosslab.org/schtools/dev/pull_request_template.html","id":"checklist","dir":"","previous_headings":"","what":"Checklist","title":"NA","text":"(Strikethrough points applicable.) Write unit tests new functionality. Update roxygen comments & vignettes API changes. Update NEWS.md includes user-facing changes. check workflow succeeds recent commit.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate OTU relative abundances from a shared file — calc_relabun","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"Calculate OTU relative abundances shared file","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"","code":"calc_relabun(abs_abun_dat)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"abs_abun_dat data frame reading shared file. contain Group column sample names, Otu columns absolute counts OTU, rows sample.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"new data frame OTU relative abundances long format.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate OTU relative abundances from a shared file — calc_relabun","text":"","code":"shared_dat <- readr::read_tsv(system.file(\"extdata\", \"test.shared\",                                           package = \"schtools\")) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. shared_dat %>% calc_relabun() #> # A tibble: 120 × 3 #>    sample otu      rel_abun #>    <chr>  <chr>       <dbl> #>  1 p1     Otu0001      0    #>  2 p1     Otu0003      0    #>  3 p1     Otu0004      0    #>  4 p1     Otu00008     0    #>  5 p1     Otu0044      0.25 #>  6 p1     Otu0056      0.25 #>  7 p1     Otu0057      0    #>  8 p1     Otu0058      0.25 #>  9 p1     Otu0159      0    #> 10 p1     Otu0208      0.25 #> # … with 110 more rows"},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether two numeric vectors are close enough for gov't work. — close_enough","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"like dplyr::near() except much less precision.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"","code":"close_enough(x, y, tol = 10^-3)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"x numeric vector y another numeric vector tol tolerance (default: 10^-3.)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"TRUE numbers near enough within tolerance, otherwise FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/close_enough.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check whether two numeric vectors are close enough for gov't work. — close_enough","text":"","code":"close_enough(0.0004, 0) #> [1] TRUE close_enough(0.8887, 0.8884) #> [1] TRUE close_enough(1, 2) #> [1] FALSE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":null,"dir":"Reference","previous_headings":"","what":"Format human-readable numbers. — format_number","title":"Format human-readable numbers. — format_number","text":"Pastes formatted x numeric, otherwise x unmodified. Circumvents R's automatic scientific notation. number nearly whole (see is_nearly_whole()), rounded zero decimal places. Otherwise, numbers >= 1 rounded 1 decimal place; numbers < 1 rounded 2 significant digits.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format human-readable numbers. — format_number","text":"","code":"format_number(x, nsmall = 1, signif_precise = 2)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format human-readable numbers. — format_number","text":"x inline code nsmall number digits decimal point round x nearly whole x >= 1. signif_precise number significant digits use x nearly whole","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format human-readable numbers. — format_number","text":"formatted x numeric, otherwise x unmodified.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Format human-readable numbers. — format_number","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/format_number.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format human-readable numbers. — format_number","text":"","code":"format_number(0.0256) #> [1] \"0.026\" format_number(.Machine$double.eps^0.5) #> [1] \"0.000000015\" format_number(100000.08) #> [1] \"100,000.1\" format_number(1.00000000000000000001) #> [1] \"1\" format_number(\"this is a string\") #> [1] \"this is a string\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":null,"dir":"Reference","previous_headings":"","what":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"Inline hook knitr paste human-readable numbers nice lists.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"","code":"inline_hook(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"x just anything","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"string element x separated comma numbers human-readable format.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"Kelly Sovacool sovacool@umich.edu Pat Schloss pschloss@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/inline_hook.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inline hook for knitr to paste human-readable numbers and nice lists. — inline_hook","text":"","code":"inline_hook(c(1.2993992, 0.03, 1000)) #> [1] \"1.3, 0.03, and 1,000\" inline_hook(c(\"cats\", \"dogs\")) #> [1] \"cats and dogs\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks whether a number is near to a whole number — is_nearly_whole","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"Checks whether number near whole number","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"","code":"is_nearly_whole(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"x numeric","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"TRUE FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nearly_whole.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Checks whether a number is near to a whole number — is_nearly_whole","text":"","code":"is_nearly_whole(.Machine$double.eps^0.5) #> [1] FALSE is_nearly_whole(.Machine$double.eps^0.6) #> [1] TRUE is_nearly_whole(1) #> [1] TRUE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether all elements given are sorted in non-descending order — is_nondesc","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"Check whether elements given sorted non-descending order","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"","code":"is_nondesc(...)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"... anything!","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"TRUE elements sorted non-descending order, otherwise FALSE","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/is_nondesc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check whether all elements given are sorted in non-descending order — is_nondesc","text":"","code":"is_nondesc(1, 2, 3) #> [1] TRUE is_nondesc(c(1, 2), 3) #> [1] TRUE is_nondesc(6, 4, 1) #> [1] FALSE is_nondesc(\"a\", \"b\", \"c\") #> [1] TRUE is_nondesc(c(\"z\", \"y\")) #> [1] FALSE"},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":null,"dir":"Reference","previous_headings":"","what":"Install & load packages — load_deps","title":"Install & load packages — load_deps","text":"Install & load packages","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Install & load packages — load_deps","text":"","code":"load_deps(...)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Install & load packages — load_deps","text":"... package names install & load","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/load_deps.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Install & load packages — load_deps","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":null,"dir":"Reference","previous_headings":"","what":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"function checks whether log file specified Snakemake rule. , directs output, messages, warnings, errors rule-specific log file. See Snakemake documentation log files R scripts details.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"","code":"log_snakemake(quiet = TRUE)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"quiet Silence messages status snakemake object log file (default: TRUE).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/log_snakemake.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Save output, messages, warnings, and errors to the Snakemake log file — log_snakemake","text":"","code":"# The Snakemake object doesn't exist, so nothing happens log_snakemake(quiet = FALSE) #> No Snakemake object exists, so all output will print as usual"},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"Convert taxonomy strings dataframe labels based taxonomic classification","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"","code":"parse_tax(dat)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"dat dataframe mothur taxonomy file columns OTU, Size, Taxonomy","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"wide dataframe taxonomic labels","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"Nick Lesniak, nlesniak@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/parse_tax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert taxonomy strings into dataframe of labels based on taxonomic classification — parse_tax","text":"","code":"taxonomy_filepath <- system.file(\"extdata\",   \"test.taxonomy\",   package = \"schtools\" ) taxonomy_tbl <- read_tax(taxonomy_filepath) head(taxonomy_tbl) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html"},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a prose string from a list or vector — paste_oxford_list","title":"Create a prose string from a list or vector — paste_oxford_list","text":"word '' inserted last element Oxford comma used.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a prose string from a list or vector — paste_oxford_list","text":"","code":"paste_oxford_list(x)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a prose string from a list or vector — paste_oxford_list","text":"x list vector","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a prose string from a list or vector — paste_oxford_list","text":"string element x separated comma","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Create a prose string from a list or vector — paste_oxford_list","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/paste_oxford_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a prose string from a list or vector — paste_oxford_list","text":"","code":"paste_oxford_list(1:3) #> [1] \"1, 2, and 3\" paste_oxford_list(c(\"cats\", \"dogs\", \"turtles\")) #> [1] \"cats, dogs, and turtles\""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"Enables comparing analyses different taxonomic resolutions, seen https://doi.org/10.1128/mbio.03161-21. Implementation adapted .","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"","code":"pool_taxon_counts(otu_shared_dat, otu_tax_dat, taxon_level)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"otu_shared_dat data frame created shared file OTU level. otu_tax_dat data frame created taxonomy file OTU level. Must dataset shared file. taxon_level taxonomic level pool OTUs (kingdom, phylum, class, order, family, genus). column otu_tax_dat.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"shared data frame OTUs specified taxon_level corresponding taxonomy dataframe new OTU numbers.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"Kelly Sovacool, sovacool@umich.edu Pat Schloss pschloss@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/pool_taxon_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pool OTU counts at a particular taxonomic level — pool_taxon_counts","text":"","code":"tax_dat <- read_tax(system.file(\"extdata\", \"test.taxonomy\",   package = \"schtools\" )) shared_dat <- readr::read_tsv(system.file(\"extdata\", \"test.shared\",   package = \"schtools\" )) #> Rows: 10 Columns: 15 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: \"\\t\" #> chr  (1): Group #> dbl (14): label, numOtus, Otu0001, Otu0003, Otu0004, Otu00008, Otu0044, Otu0... #>  #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. pool_taxon_counts(shared_dat, tax_dat, genus) #> $shared #> # A tibble: 10 × 13 #>    label Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 genus p1         10     0     0     0     2     0     1     0     1     0 #>  2 genus p10        10     1     0     1     0     1     0     1     1     1 #>  3 genus p2         10     1     1     0     1     0     1     0     0     1 #>  4 genus p3         10     0     1     0     1     0     0     1     0     1 #>  5 genus p4         10     1     1     1     0     0     0     0     0     0 #>  6 genus p5         10     1     1     0     1     0     0     0     0     1 #>  7 genus p6         10     1     0     1     1     1     1     0     0     1 #>  8 genus p7         10     0     0     0     1     1     0     1     0     1 #>  9 genus p8         10     0     1     1     2     0     0     1     1     0 #> 10 genus p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size genus                                          #>    <chr> <dbl> <chr>                                          #>  1 Otu01     5 Bacteroides                                    #>  2 Otu02     6 Porphyromonadaceae unclassified                #>  3 Otu03     5 Enterobacteriaceae unclassified                #>  4 Otu04    11 Bacteria unclassified                          #>  5 Otu05     3 Acinetobacter                                  #>  6 Otu06     3 Clostridium XlVa                               #>  7 Otu07     5 Betaproteobacteria unclassified                #>  8 Otu08     4 Clostridium XVIII                              #>  9 Otu09     7 Candidatus Saccharibacteria unclassified       #> 10 Otu10     5 Clostridiales Incertae Sedis XIII unclassified #>  pool_taxon_counts(shared_dat, tax_dat, family) #> $shared #> # A tibble: 10 × 13 #>    label  Group numOtus Otu01 Otu02 Otu03 Otu04 Otu05 Otu06 Otu07 Otu08 Otu09 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 family p1         10     0     0     0     2     0     1     0     1     0 #>  2 family p10        10     1     0     1     0     1     0     1     1     1 #>  3 family p2         10     1     1     0     1     0     1     0     0     1 #>  4 family p3         10     0     1     0     1     0     0     1     0     1 #>  5 family p4         10     1     1     1     0     0     0     0     0     0 #>  6 family p5         10     1     1     0     1     0     0     0     0     1 #>  7 family p6         10     1     0     1     1     1     1     0     0     1 #>  8 family p7         10     0     0     0     1     1     0     1     0     1 #>  9 family p8         10     0     1     1     2     0     0     1     1     0 #> 10 family p9         10     0     1     1     2     0     0     1     1     1 #> # … with 1 more variable: Otu10 <dbl> #>  #> $tax #> # A tibble: 10 × 3 #>    otu    size family                                   #>    <chr> <dbl> <chr>                                    #>  1 Otu01     5 Bacteroidaceae                           #>  2 Otu02     6 Porphyromonadaceae                       #>  3 Otu03     5 Enterobacteriaceae                       #>  4 Otu04    11 Bacteria unclassified                    #>  5 Otu05     3 Moraxellaceae                            #>  6 Otu06     3 Lachnospiraceae                          #>  7 Otu07     5 Betaproteobacteria unclassified          #>  8 Otu08     4 Erysipelotrichaceae                      #>  9 Otu09     7 Candidatus Saccharibacteria unclassified #> 10 Otu10     5 Clostridiales Incertae Sedis XIII        #>  pool_taxon_counts(shared_dat, tax_dat, phylum) #> $shared #> # A tibble: 10 × 8 #>    label  Group numOtus  Otu1  Otu2  Otu3  Otu4  Otu5 #>    <chr>  <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #>  1 phylum p1          5     0     0     2     2     0 #>  2 phylum p10         5     1     3     0     1     1 #>  3 phylum p2          5     2     0     1     2     1 #>  4 phylum p3          5     1     1     1     1     1 #>  5 phylum p4          5     2     1     0     1     0 #>  6 phylum p5          5     2     0     1     0     1 #>  7 phylum p6          5     1     2     1     1     1 #>  8 phylum p7          5     0     2     1     1     1 #>  9 phylum p8          5     1     2     2     1     0 #> 10 phylum p9          5     1     2     2     2     1 #>  #> $tax #> # A tibble: 5 × 3 #>   otu    size phylum                      #>   <chr> <dbl> <chr>                       #> 1 Otu1     11 Bacteroidetes               #> 2 Otu2     13 Proteobacteria              #> 3 Otu3     11 Bacteria unclassified       #> 4 Otu4     12 Firmicutes                  #> 5 Otu5      7 Candidatus Saccharibacteria #>"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":null,"dir":"Reference","previous_headings":"","what":"Read in lower left triangular matrix from file — read_dist","title":"Read in lower left triangular matrix from file — read_dist","text":"Read lower left triangular matrix file","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read in lower left triangular matrix from file — read_dist","text":"","code":"read_dist(dist_filename)"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read in lower left triangular matrix from file — read_dist","text":"dist_filename filename lower left triangular matrix (.dist)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read in lower left triangular matrix from file — read_dist","text":"distance matrix tibble","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Read in lower left triangular matrix from file — read_dist","text":"Nick Lesniak, nlesniak@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_dist.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read in lower left triangular matrix from file — read_dist","text":"","code":"dist_filepath <- system.file(\"extdata\",   \"sample.final.thetayc.0.03.lt.ave.dist\",   package = \"schtools\" ) dist_tbl <- read_dist(dist_filepath) head(dist_tbl) #> # A tibble: 6 × 3 #>   rows      columns   distances #>   <chr>     <chr>         <dbl> #> 1 104_1_D1  104_1_D0      0.893 #> 2 104_1_D10 104_1_D0      0.254 #> 3 104_1_D10 104_1_D1      0.922 #> 4 104_1_D2  104_1_D0      0.874 #> 5 104_1_D2  104_1_D1      0.109 #> 6 104_1_D2  104_1_D10     0.904"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":null,"dir":"Reference","previous_headings":"","what":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"Read taxonomy file parse wide dataframe","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"","code":"read_tax(taxonomy_filename, sep = \"\\t\")"},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"taxonomy_filename filename taxonomy file sep Character separates fields taxonomy file. (Default: \\t).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"dataframe taxonomic labels, formatted parse_tax()","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"Nick Lesniak, nlesniak@umich.edu Kelly Sovacool, sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/read_tax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read in a taxonomy file and parse it to a wide dataframe — read_tax","text":"","code":"taxonomy_filepath <- system.file(\"extdata\",   \"test.taxonomy\",   package = \"schtools\" ) taxonomy_tbl <- read_tax(taxonomy_filepath) head(taxonomy_tbl) #> # A tibble: 6 × 10 #>   otu      otu_label tax_otu_l…¹ label…² kingdom phylum class order family genus #>   <chr>    <chr>     <chr>       <chr>   <chr>   <chr>  <chr> <chr> <chr>  <chr> #> 1 Otu0001  OTU 1     Bacteroide… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 2 Otu0003  OTU 3     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 3 Otu0004  OTU 4     Porphyromo… <i>Por… Bacter… Bacte… Bact… Bact… Porph… Porp… #> 4 Otu00008 OTU 8     Enterobact… <i>Ent… Bacter… Prote… Gamm… Ente… Enter… Ente… #> 5 Otu0044  OTU 44    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> 6 Otu0056  OTU 56    Bacteria (… <i>Bac… Bacter… Bacte… Bact… Bact… Bacte… Bact… #> # … with abbreviated variable names ¹​tax_otu_label, ²​label_html"},{"path":"http://www.schlosslab.org/schtools/dev/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"dplyr pipe — reexports","title":"dplyr pipe — reexports","text":"objects imported packages. Follow links see documentation. dplyr %>% rlang .data","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/schtools.html","id":null,"dir":"Reference","previous_headings":"","what":"schtools: Schloss Lab Tools for Reproducible Microbiome Research — schtools","title":"schtools: Schloss Lab Tools for Reproducible Microbiome Research — schtools","text":"collection useful functions example code created used Schloss Lab reproducible microbiome research. Perform common tasks like read files created mothur, tidy microbiome data, format rmarkdown documents publication. See website information, documentation, examples.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":null,"dir":"Reference","previous_headings":"","what":"Set knitr chunk options & inline hook — set_knitr_opts","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"Call function setup chunk R Markdown files.","code":""},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"","code":"set_knitr_opts()"},{"path":"http://www.schlosslab.org/schtools/dev/reference/set_knitr_opts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Set knitr chunk options & inline hook — set_knitr_opts","text":"Pat Schloss pschloss@umich.edu Kelly Sovacool sovacool@umich.edu","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-021","dir":"Changelog","previous_headings":"","what":"schtools 0.2.1","title":"schtools 0.2.1","text":"CRAN release: 2022-05-11 New column label_html provides HTML correctly italicize genus names OTU labels. Added example intro vignette demonstrate using feature ggtext. Changed taxonomy data frame column names lowercase reordered . Minor documentation improvements (#33, @kelly-sovacool).","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-011","dir":"Changelog","previous_headings":"","what":"schtools 0.1.1","title":"schtools 0.1.1","text":"CRAN release: 2022-03-11 New function parse_tax() separate logic reading parsing taxonomy files. read_tax() now accepts sep parameter handle different delim file types (e.g. csv tsv). schtools now logo! (#31, @kelly-sovacool)","code":""},{"path":"http://www.schlosslab.org/schtools/dev/news/index.html","id":"schtools-010","dir":"Changelog","previous_headings":"","what":"schtools 0.1.0","title":"schtools 0.1.0","text":"CRAN release: 2021-11-22 first release version schtools! 🎉 can now install schtools CRAN! Added NEWS.md file track changes package. read_dist() (#10, @NLesniak) read_tax() (#22, @NLesniak) set_knitr_opts() (#21, @pschloss, @kelly-sovacool) inline_hook() (#21, @pschloss, @kelly-sovacool) paste_oxford_list() (#21, @pschloss, @kelly-sovacool) format_number() (#24, @pschloss, @kelly-sovacool) is_nearly_whole() (#24, @pschloss, @kelly-sovacool) close_enough() (#26, @kelly-sovacool) is_nondesc() (#28, @kelly-sovacool) introduction","code":""}]
diff --git a/docs/dev/sitemap.xml b/docs/dev/sitemap.xml
index a727f5d..e381e5e 100644
--- a/docs/dev/sitemap.xml
+++ b/docs/dev/sitemap.xml
@@ -39,6 +39,9 @@
   <url>
     <loc>http://www.schlosslab.org/schtools/dev/pull_request_template.html</loc>
   </url>
+  <url>
+    <loc>http://www.schlosslab.org/schtools/dev/reference/calc_relabun.html</loc>
+  </url>
   <url>
     <loc>http://www.schlosslab.org/schtools/dev/reference/close_enough.html</loc>
   </url>