ggplot2 Cheat Sheet

Data Visualization with ggplot2

You can build graphs with qplot() or ggplot(). Both allow you to create complete plots but ggplot() gives you more creative freedom in creating these plots.

qplot()

qplot(x, y, data=, color=, shape=, size=, alpha=, geom=, method=, formula=, facets=, xlim=, ylim= xlab=, ylab=, main=, sub=)

Option	Description
alpha	transparency level: 0 (complete transparency) & 1 (complete opacity)
data	data frame
geom	specifies graph type ("point", "smooth", "boxplot", "line", "histogram")
main, sub	title and subtitle
shape	numbers represent different shapes
x,y	x and y variables
xlab, ylab	specifies horizontal and vertical axis labels
xlim, ylim	2-element numeric vector containing min and max values for axes

ggplot()

The base function of creating a ggplot requires you to call the following function:

ggplot(data = twitter, aes(x = lang, y = count)) + 

After the +, you can add new layers to the plot with a geom_*() or stat_*() function. Each new layer must be added with +.
R provides a useful cheat sheet here.