Some extra geoms, scales, and themes for ggplot.
To install the stable version from CRAN,
install.packages('ggthemes', dependencies = TRUE)Or, to install the development version from github, use the devtools package,
library("devtools") install_github(c("hadley/ggplot2", "jrnold/ggthemes"))For a quick tutorial, check out Rafael Irizarry’s book.
library("ggplot2") library("ggthemes") mtcars2 <- within(mtcars, { vs <- factor(vs, labels = c("V-shaped", "Straight")) am <- factor(am, labels = c("Automatic", "Manual")) cyl <- factor(cyl) gear <- factor(gear) }) p1 <- ggplot(mtcars2) + geom_point(aes(x = wt, y = mpg, colour = gear)) + labs( title = "Fuel economy declines as weight increases", subtitle = "(1973-74)", caption = "Data from the 1974 Motor Trend US magazine.", x = "Weight (1000 lbs)", y = "Fuel economy (mpg)", colour = "Gears" )p1 + scale_color_calc() + theme_calc()
p1 + theme_clean()
p1 + theme_economist() + scale_colour_economist()
p1 + theme_excel() + scale_colour_excel()
p1 + theme_excel_new() + scale_colour_excel_new()
p1 + theme_igray()
p1 + theme_par()
p1 + theme_fivethirtyeight()
p1 + theme_few() + scale_colour_few()
p1 + theme_solarized() + scale_colour_solarized()
p1 + theme_solarized(light=FALSE) + scale_colour_solarized()
p1 + theme_solid()
p1 + theme_tufte()
p1 + theme_wsj(base_size = 8) + scale_color_wsj()
p1 + scale_color_colorblind()
p1 + scale_color_tableau()