R Graphics

Packages

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

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, (to make a finer plot: hist(x, breaks=20)
plot(density(x)) density plot is a continuous histogram

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.