Last data update: 2014.03.03

R: Generic X-Y Plotting
plotR Documentation

Generic X-Y Plotting

Description

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 functions, data.frames, density objects, etc. Use methods(plot) and the documentation for these.

Usage

plot(x, y, ...)

Arguments

x

the coordinates of points in the plot. Alternatively, a single plotting structure, function or any R object with a plot method can be provided.

y

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.

All other types 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 y/x aspect ratio, see plot.window.

Details

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.

See Also

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.

Examples

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")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(graphics)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/graphics/plot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot
> ### Title: Generic X-Y Plotting
> ### Aliases: plot
> ### Keywords: hplot
> 
> ### ** Examples
> 
> 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")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>