from statmethods.net
# ggplot2 examples
library(ggplot2)
rm(mtcars)
## Warning: object 'mtcars' not found
# use color brewer as default discrete colors
scale_colour_discrete <- function(...) scale_color_brewer(palette = "Set1",
...)
scale_fill_discrete <- function(...) scale_fill_brewer(palette = "Set1", ...)
# create factors with value labels
mtcars$gear <- factor(mtcars$gear, levels = c(3, 4, 5), labels = c("3gears",
"4gears", "5gears"))
mtcars$am <- factor(mtcars$am, levels = c(0, 1), labels = c("Automatic", "Manual"))
mtcars$cyl <- factor(mtcars$cyl, levels = c(4, 6, 8), labels = c("4cyl", "6cyl",
"8cyl"))
grouped by number of gears (indicated by color)
qplot(mpg, data = mtcars, geom = "density", fill = gear, alpha = I(0.5), main = "Distribution of Gas Milage",
xlab = "Miles Per Gallon", ylab = "Density")
for each combination of gears and cylinders in each facet, transmission type is represented by shape and color
qplot(hp, mpg, data = mtcars, shape = am, color = am, facets = gear ~ cyl, size = I(3),
xlab = "Horsepower", ylab = "Miles per Gallon")
Seperate for each number of cylinders
qplot(wt, mpg, data = mtcars, geom = c("point", "smooth"), method = "lm", formula = y ~
x, color = cyl, main = "Regression of MPG on Weight", xlab = "Weight", ylab = "Miles per Gallon")
observations (points) are overlayed and jittered
qplot(gear, mpg, data = mtcars, geom = c("boxplot", "jitter"), fill = gear,
main = "Mileage by Gear Number", xlab = "", ylab = "Miles per Gallon")
Author: Jim Hester Created: 2013 Mar 20 10:57:07 AM Last Modified: 2013 Apr 11 08:13:45 AM