eta_cat: Plot ETAs versus categorical variables

In metrumresearchgroup/pmplots: Plots for Pharmacometrics

Plot ETAs versus categorical variables

Description

This is a vectorized function; see details.

Usage

eta_cat(df, x, y, hline = 0, ...)

Arguments

df	data frame to plot
x	character col//title for x-axis data; see col_label
y	character col//title for y-axis data; see col_label
hline	passed to boxwork
...	other arguments passed to cont_cat

Details

This is a vectorized functions; if either x or y are a character vector (in col//title format), a list of plots is returned. If both x and y are length 1, then a single plot object (not a list) is returned.

Summary numbers located below each box are described in boxwork. The summaries will not be correct if the plot is eventually faceted by another variable in the data set. In this case, either use shown=FALSE or create the plot with split_plot.

Value

A single plot when a single value for x and y are supplied; a list of plots of either x or y have length greater than 1.

See Also

eta_cont

Examples

df <- pmplots_data_id()

eta_cat(df, x = "STUDYc//Study", y = "ETA1//ETA-CL")

metrumresearchgroup/pmplots documentation built on Oct. 15, 2024, noon