plot | R Documentation |
Generic function for plotting of R objects.
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. Most of these methods are implemented
using traditional graphics (the graphics package), but this is
not mandatory.
For more details about graphical parameter arguments used by
traditional graphics, see par
.
plot(x, y, ...)
x |
the coordinates of points in the plot. Alternatively, a
single plotting structure, function or any R object with a
|
y |
the y coordinates of points in the plot, optional
if |
... |
Arguments to be passed to methods, such as
graphical parameters (see
|
The two step types differ in their x-y preference: Going from
(x1,y1) to (x2,y2) with x1 < x2, type = "s"
moves first horizontal, then vertical, whereas type = "S"
moves
the other way around.
The plot
generic was moved from the graphics package to
the base package in R 4.0.0. It is currently re-exported from
the graphics namespace to allow packages importing it from there
to continue working, but this may change in future versions of R.
plot.default
, plot.formula
and other
methods; points
, lines
, par
.
For thousands of points, consider using smoothScatter()
instead of plot()
.
For X-Y-Z plotting see contour
, persp
and
image
.
require(stats) # for lowess, rpois, rnorm require(graphics) # for plot methods 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")
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