.check_no_miss_cols

This function checks for whether any of the required columns
 have a data entry of `NA` or `NULL`.

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_no_miss_cols function

<dl><dt>data</dt>
<dd>Data frame to check.</dd>
<dt>req.cols</dt>
<dd>Columns with required data.</dd>
<dt>return.missing</dt>
<dd>Logical argument, if `TRUE` return rows missing data in
column (list or vector by column name). (Default is `FALSE`.)</dd></dl>

Arguments

Check there is no missing data for specified columns. — .check_no_miss_cols

<dl>

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


<dt>req.cols</dt>
<dd>Columns with required data.</dd>


<dt>return.missing</dt>
<dd>Logical argument, if `TRUE` return rows missing data in
column (list or vector by column name). (Default is `FALSE`.)</dd>

</dl>

Check there is no missing data for specified columns.

.check_no_miss_cols: Check there is no missing data for specified columns.

Description

Usage

Arguments