xgx_summarize_covariates

<code>xgx_summarize_covariates</code>

Supports a structured approach
for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also
contains helper functions for enabling the modeler to follow best R
practices (by appending the program name, figure name location, and
draft status to each plot). In addition, it enables the modeler to
follow best graphical practices (by providing a theme that
reduces chart ink, and by providing time-scale, log-scale, and
reverse-log-transform-scale functions for more readable axes).
Finally, it provides some data checking and summarizing functions for
rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.

Andrew Stein

xgxr

Exploratory Graphics for Pharmacometrics

Alison Margolskee

Fariba Khanshan

Konstantin Krismer

Matthew Fidler

Novartis Pharma AG 

xgx_summarize_covariates function

<dl><dt>data, </dt>
<dd>the dataset to check. must contain a USUBJID or ID column 
for subject id</dd>
<dt>covariates, </dt>
<dd>the column names of covariates, to explore</dd>
<dt>n_cts, </dt>
<dd>the number of unique values for a covariate to be treated as 
continuous, default is 8</dd></dl>

Arguments

Summarize Covariate information in a dataset — xgx_summarize_covariates

<dl>

<dt>data, </dt>
<dd>the dataset to check. must contain a USUBJID or ID column 
for subject id</dd>


<dt>covariates, </dt>
<dd>the column names of covariates, to explore</dd>


<dt>n_cts, </dt>
<dd>the number of unique values for a covariate to be treated as 
continuous, default is 8</dd>

</dl>

xgx_summarize_covariates: Summarize Covariate information in a dataset

Description

Usage

Value

Arguments

Examples