We can also plot a histogram of the data:
> hist(Nile)
A window pops up with the histogram in it, as shown in Figure 1-1. This
graph is bare-bones simple, but R has all kinds of optional bells and whistles
for plotting. For instance, you can change the number of bins by specify-
ing thebreaksvariable. The callhist(z,breaks=12)would draw a histogram
of the data setzwith 12 bins. You can also create nicer labels, make use of
color, and make many other changes to create a more informative and eye-
appealing graph. When you become more familiar with R, you’ll be able to
construct complex, rich color graphics of striking beauty.
Figure 1-1: Nile data, plain presentation
Well, that’s the end of our first, five-minute introduction to R. Quit R
by calling theq()function (or alternatively by pressingCTRL-D in Linux or
CMD-D on a Mac):
> q()
Save workspace image? [y/n/c]: n
6 Chapter 1