ggplot2_label_variable

Function copied from ggplot2:::label_variable, with addition of `
Copied here since CRAN does not like use of `:::`.

Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.

Ron Keizer

Create Visual Predictive Checks

Bill Denney

ggplot2_label_variable function

<dl><dt>labels</dt>
<dd>Data frame of labels. Usually contains only one element, but faceting over multiple factors entails multiple label variables.</dd>
<dt>multi_line</dt>
<dd>Whether to display the labels of multiple factors on separate lines.</dd></dl>

Arguments

Function copied from ggplot2:::label_variable, with addition of `
Copied here since CRAN does not like use of `:::`. — ggplot2_label_variable

<dl>

<dt>labels</dt>
<dd>Data frame of labels. Usually contains only one element, but faceting over multiple factors entails multiple label variables.</dd>


<dt>multi_line</dt>
<dd>Whether to display the labels of multiple factors on separate lines.</dd>

</dl>

ggplot2_label_variable: Function copied from ggplot2:::label_variable, with addition of ` Copied here since CRAN does not like use of `:::`.

Description

Usage

Arguments