revdep/library/curtailment/new/ggthemes/examples/ex-theme_par.R

In martinlaw/curtailment: Finds Binary Outcome Designs Using Stochastic Curtailment

library("ggplot2")

p <- ggplot(mtcars) +
  geom_point(aes(x = wt, y = mpg, colour = factor(gear))) +
  facet_wrap(~am)

p + theme_par()

# theme changes with respect to values of par
par(font = 2, col.lab = "red", fg = "white", bg = "black")
p + theme_par()