Other high-level graphics functions produce different types of plots. Some examples are:
Plots any number of time series on the same scale. This automatic
simultaneous scaling feature is also useful when the x
's are
ordinary numeric vectors, in which case they are plotted against the
numbers 1,2,3,....
Distribution-comparison plots. The first form plots the numeric vector x against the expected Normal order scores (a normal scores plot.) The second form plots the quantiles of x against those of y to compare their respective distributions.
Produces a histogram of the numeric vector x. A sensible number of classes is usually chosen, but a recommendation can be given with the nclass= argument. Alternatively, the breakpoints can be specified exactly with the breaks= argument. If the probability=T argument is given, the bars represent relative frequencies instead of counts.
Construct a dotchart of the data in x. In a dotchart the x-axis gives a labelling of the data in x and the y-axis gives its value. For example it allows easy visual selection of all data entries with values lying in specified ranges.
Make a pie diagram, including the possibility of some pieces displaced or ``exploded'' out from the centre. (Pie diagrams are especially good for showing to administrators and bosses, but not much else, in my opinion.)