separate_tidy

This function is primarily a wrapper for <a href="https://tidyr.tidyverse.org/reference/separate.html">separate</a>, which
turns a single character column into multiple columns

Easy wrangling and model-free analysis of
microbial growth curve data, as commonly output by plate readers.
Tools for reshaping common plate reader outputs into 'tidy' formats and
merging them with design information, making data easy to work with using
'gcplyr' and other packages. Also streamlines common growth curve
processing steps, like smoothing and calculating derivatives, and
facilitates model-free characterization and analysis of growth data.
See methods at <https://mikeblazanin.github.io/gcplyr/>.

Mike Blazanin

gcplyr

Wrangle and Analyze Growth Curve Data

separate_tidy function

<dl><dt>data</dt>
<dd>A data frame</dd>
<dt>col</dt>
<dd>Column name or position</dd>
<dt>into</dt>
<dd>A character vector of the new column names. Use <code>NA</code> to
omit the variable in the output.
If NULL, <code>separate_tidy</code> will attempt to infer the new
column names by splitting the column name of <code>col</code></dd>
<dt>sep</dt>
<dd>Separator between columns passed to <a href="https://tidyr.tidyverse.org/reference/separate.html">separate</a>:
If character, <code>sep</code> is interpreted as a regular expression. 
If numeric, <code>sep</code> is interpreted as character positions
 to split at. Positive values start at 1 at the far-left of the
 string; negative values start at -1 at the far-right of the
 string. The length of <code>sep</code> should be one less than 
 <code>into</code></dd>
<dt>coerce_NA</dt>
<dd>logical dictating if strings matching any of 
<code>na.strings</code> will be coerced into <code>NA</code> values 
after separating.</dd>
<dt>na.strings</dt>
<dd>A character vector of strings which are to be interpreted
as <code>NA</code> values if <code>coerce_NA == TRUE</code></dd>
<dt>message_inferred_into</dt>
<dd>logical whether column names for <code>into</code>
should be printed in a message when inferred</dd>
<dt>...</dt>
<dd>Other arguments passed to <a href="https://tidyr.tidyverse.org/reference/separate.html">separate</a></dd></dl>

Arguments

This function is primarily a wrapper for <a href='https://tidyr.tidyverse.org/reference/separate.html'>separate</a>, which
turns a single character column into multiple columns

Separate a column into multiple columns — separate_tidy

<dl>

<dt>data</dt>
<dd>A data frame</dd>


<dt>col</dt>
<dd>Column name or position</dd>


<dt>into</dt>
<dd>A character vector of the new column names. Use <code>NA</code> to
omit the variable in the output.
If NULL, <code>separate_tidy</code> will attempt to infer the new
column names by splitting the column name of <code>col</code></dd>


<dt>sep</dt>
<dd>Separator between columns passed to <a href='https://tidyr.tidyverse.org/reference/separate.html'>separate</a>:
If character, <code>sep</code> is interpreted as a regular expression. 
If numeric, <code>sep</code> is interpreted as character positions
 to split at. Positive values start at 1 at the far-left of the
 string; negative values start at -1 at the far-right of the
 string. The length of <code>sep</code> should be one less than 
 <code>into</code></dd>


<dt>coerce_NA</dt>
<dd>logical dictating if strings matching any of 
<code>na.strings</code> will be coerced into <code>NA</code> values 
after separating.</dd>


<dt>na.strings</dt>
<dd>A character vector of strings which are to be interpreted
as <code>NA</code> values if <code>coerce_NA == TRUE</code></dd>


<dt>message_inferred_into</dt>
<dd>logical whether column names for <code>into</code>
should be printed in a message when inferred</dd>


<dt>...</dt>
<dd>Other arguments passed to <a href='https://tidyr.tidyverse.org/reference/separate.html'>separate</a></dd>

</dl>

separate_tidy: Separate a column into multiple columns

Description

Usage

Value

Arguments