Last chance! 50% off unlimited learning
Sale ends in
Generic function for plotting of R objects. For more details about
the graphical parameter arguments, see par
.
For simple scatter plots, plot.default
will be used.
However, there are plot
methods for many R objects,
including function
s, data.frame
s,
density
objects, etc. Use methods(plot)
and
the documentation for these.
plot(x, y, …)
the coordinates of points in the plot. Alternatively, a
single plotting structure, function or any R object with a
plot
method can be provided.
the y coordinates of points in the plot, optional
if x
is an appropriate structure.
Arguments to be passed to methods, such as
graphical parameters (see par
).
Many methods will accept the following arguments:
type
what type of plot should be drawn. Possible types are
"p"
for points,
"l"
for lines,
"b"
for both,
"c"
for the lines part alone of "b"
,
"o"
for both ‘overplotted’,
"h"
for ‘histogram’ like (or
‘high-density’) vertical lines,
"s"
for stair steps,
"S"
for other steps, see ‘Details’ below,
"n"
for no plotting.
type
s give a warning or an error; using, e.g.,
type = "punkte"
being equivalent to type = "p"
for S
compatibility. Note that some methods,
e.g.plot.factor
, do not accept this.main
an overall title for the plot: see title
.
sub
a sub title for the plot: see title
.
xlab
a title for the x axis: see title
.
ylab
a title for the y axis: see title
.
asp
the plot.window
.
The two step types differ in their x-y preference: Going from
type = "s"
moves first horizontal, then vertical, whereas type = "S"
moves
the other way around.
plot.default
, plot.formula
and other
methods; points
, lines
, par
.
For thousands of points, consider using smoothScatter()
instead of plot()
.
# NOT RUN {
require(stats) # for lowess, rpois, rnorm
plot(cars)
lines(lowess(cars))
plot(sin, -pi, 2*pi) # see ?plot.function
## Discrete Distribution Plot:
plot(table(rpois(100, 5)), type = "h", col = "red", lwd = 10,
main = "rpois(100, lambda = 5)")
## Simple quantiles/ECDF, see ecdf() {library(stats)} for a better one:
plot(x <- sort(rnorm(47)), type = "s", main = "plot(x, type = \"s\")")
points(x, cex = .5, col = "dark red")
# }
Run the code above in your browser using DataLab