R/DiscreteDistribution.R
DiscreteDistribution.Rd
Similar to calling ClevelandDotPlot
with sort = 0
on a numerical x variable that
takes on a discrete set of values.
DiscreteDistribution(frm, xvar, title, ..., stem = TRUE, color = "black")
frm | data frame to get values from |
---|---|
xvar | numeric: name of the variable whose distribution is to be plotted |
title | title to place on plot |
... | no unnamed argument, added to force named binding of later arguments. |
stem | if TRUE add whisker/stems to plot |
color | color of points and stems |
frmx = data.frame(x = rbinom(1000, 20, 0.5)) WVPlots::DiscreteDistribution(frmx, "x","Discrete example")