.check_std_colnames_in_data

Check the standard column names are in the data.

A set of tools for processing and analyzing in vitro toxicokinetic
measurements in a standardized and reproducible pipeline. The package
was developed to perform frequentist and Bayesian estimation on a
variety of in vitro toxicokinetic measurements including -- but not
limited to -- chemical fraction unbound in the presence of plasma
(f_up), intrinsic hepatic clearance (Clint,
uL/min/million hepatocytes), and membrane permeability for
oral absorption (Caco2). The methods provided
by the package were described in Wambaugh et al. (2019) <doi:10.1093/toxsci/kfz205>.

Caroline Ring

invitroTKstats

In Vitro Toxicokinetic Data Processing and Analysis Pipeline

John Wambaugh

Sarah E. Davidson-Fritz

Lindsay Knupp

Barbara A. Wetmore

Zhao Zhihui

Chantel Nicolas

Anna Kreutz

U.S. Federal Government 

.check_std_colnames_in_data function

<dl><dt>data</dt>
<dd>Data frame to check.</dd>
<dt>std.colnames</dt>
<dd>Vector of character strings with standard column names
to check for in the data.</dd>
<dt>data.name</dt>
<dd>Name of the data object passed to the standard column names
check function. (Defaults to NULL.)</dd></dl>

Arguments

Check the standard column names are in the data. — .check_std_colnames_in_data

<dl>

<dt>data</dt>
<dd>Data frame to check.</dd>


<dt>std.colnames</dt>
<dd>Vector of character strings with standard column names
to check for in the data.</dd>


<dt>data.name</dt>
<dd>Name of the data object passed to the standard column names
check function. (Defaults to NULL.)</dd>

</dl>

Check the standard column names are in the data.

.check_std_colnames_in_data: Check the standard column names are in the data.

Description

Usage

Arguments