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From statmethods.net.
# ggplot2 examples library(ggplot2) #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", ...) data('mtcars') # 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")) head(mtcars)
Grouped by number of gears (indicated by color).
qplot(mpg, data=mtcars, geom="density", fill=gear, alpha=I(.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")
Separate for each number of cylinders.
ggplot(mtcars, aes(wt, mpg, color = cyl)) + geom_point() + geom_smooth(method = "lm", formula = y~x) + labs(title = "Regression of MPG on Weight", x = "Weight", y = "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: 2014 Apr 17 04:53:11 PM
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