Plot a bar chart of row counts conditioned on the categorical variable
faceted on a second categorical variable,
refinevar. Each faceted plot
also shows a "shadow plot" of the totals conditioned on
ShadowPlot( frm, condvar, refinevar, title, ..., monochrome = TRUE, palette = "Dark2", fillcolor = "darkblue", ncol = 1 )
data frame to get values from.
name of the primary conditioning variable (a categorical variable, controls x-axis).
name of the second or refining conditioning variable (also a categorical variable, controls faceting).
title to place on plot.
no unnamed argument, added to force named binding of later arguments.
logical: if TRUE, all facets filled with same color
character: if monochrome==FALSE, name of brewer color palette (can be NULL)
character: if monochrome==TRUE, name of fill color for bars
numeric: number of columns in facet_wrap.
a ggplot2 bar chart counting examples grouped by condvar, faceted by refinevar.
This plot enables comparisons of subpopulation totals across both
By default, the facet plots are arranged in a single column. This can be changed
with the optional
palette is NULL, and
monochrome is FALSE, plot colors will be chosen from the default ggplot2 palette. Setting
palette to NULL
allows the user to choose a non-Brewer palette, for example with
For consistency with previous releases,
ShadowPlot defaults to
monochrome = TRUE, while
ShadowHist defaults to
monochrome = FALSE.
Please see here for some interesting discussion https://drsimonj.svbtle.com/plotting-background-data-for-groups-with-ggplot2.
ShadowPlot(mtcars, "carb", "cyl", title = "Number of example cars by carb and cyl counts")# colorcode the facets ShadowPlot(mtcars, "carb", "cyl", monochrome = FALSE, title = "Number of example cars by carb and cyl counts")