R Graphics

Packages

graphics package is first choice; lattice package is well suited for splitting data by a conditioning variable

Graphics package functions

Each function has dozens of options for customization

• plot(x, y) will plot vectors x and y as scatter plot
• matplot(x, y) plot corresponding points in an arbitrary pair of corresponding data objects
• smoothscatter(x, y) plots density of points for a very large number of points
• acf(ts) autocorrelation function plot for time series
• barplot(x) has many options
• pie(x) is pie chart
• persp(x, y, z) plot a three-dimensional surface as viewed from a high point above
• image(x, y, z) plot a three-dimensional surface as viewed from directly above
• contour(x,y,z) like image, but contour map
• heatmap(x) plot a single variable on two axes, each representing a different factor
• hist(x) histogram
• plot(density(x)) density plot is a continuous histogram

Print graphics to a file

To print to a PNG file:

png("test.png")
plot(density(lpt))
dev.off()

Options: width (numeric), height (numeric), units ("in" for inches, etc), res (resolution as pixels per unit)

Other file types: bmp, jpeg, tiff, postscript, pdf, pictex, xfig.