Bivariate Plot

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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.

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")
R Output Dataset Referenced Date
Bivariate Plot Example Data Mar 16, 2017
Bivariate Plot Example Data Mar 16, 2017
Bivariate Plot Example Data Mar 16, 2017
Bivariate Plot Example Data Mar 16, 2017
Bivariate Plot Example Data Mar 16, 2017
Title Authored on Content type
R Dataset / Package DAAG / socsupport March 9, 2018 - 1:06 PM Dataset
R Dataset / Package car / Freedman March 9, 2018 - 1:06 PM Dataset
R Dataset / Package Stat2Data / MetabolicRate March 9, 2018 - 1:06 PM Dataset
R Dataset / Package wooldridge / consump March 9, 2018 - 1:06 PM Dataset
R Dataset / Package HistData / Langren.all March 9, 2018 - 1:06 PM Dataset