plotPM: Plot the missing data patterns for the optimal PM design.

In YiFengEDMS/simPM: SIMulation-based power analysis for Planned Missing designs

Description

plotPM plots the optimal PM design's missing patterns as a heatmap.

Usage

plotPM(object, colbr = "PRGn", col = c("antiquewhite1", "firebrick"),
  row.names = T, labels = T, fontsize_col = 20, fontsize_row = 14,
  fontsize = 14, angle_col = 45, legend = T, main = "", ...)

Arguments

object	The simPM object.
colbr	Specify the colors for different waves. Default is "PRGn".
col	Specify the colors for complete vs. missing data. Default is c("antiquewhite1","firebrick").
labels	logical scalar, indicating whether the label for waves is needed. Default is TRUE.
fontsize_col	Specify the font size for the column labels. Default is 20.
fontsize_row	Specify the font size for the row labels. Default is 14.
fontsize	Specify the font size for the legend. Default is 14.
angle_col	Specify the angle of how the column labels are displayed. Default is 45.
legend	Logical scalar, indicating whether the legend is shown. Default is TRUE.
main	Specify the plot title.
...	Any additional arguments for pheatmap.

See Also

pheatmap

Examples

## Not run: 
plotPM(wave.out)
plotPM(indicator.out)
plotPM(forward.out,
labels=F,
col=c("gray96","gray35"),
fontsize_row=26,
fontsize=18,
fontsize_col=26)

## End(Not run)

YiFengEDMS/simPM documentation built on July 25, 2020, 4:08 a.m.