label_vpc_tte

Slight rewrite of ggplot2::label_both, to make sure that labels
for events are ordered appropriately when doing facet_wrap.

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

label_vpc_tte 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>
<dt>sep</dt>
<dd>String separating variables and values.</dd></dl>

Arguments

Custom ggplot2 labeller function. — label_vpc_tte

<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>


<dt>sep</dt>
<dd>String separating variables and values.</dd>

</dl>

label_vpc_tte: Custom ggplot2 labeller function.

Description

Usage

Arguments