plots_bivariate: Plots Bivariate

In empirical: Probability Distributions as Models of Data

Description

Plots of multivariate probability distributions (with m=2).

Usage

## S3 method for class 'epdfmv'
plot(x, use.plot3d=FALSE,
    xlab="x1", ylab="x2", npoints=30, ..., all=FALSE)
## S3 method for class 'ecdfmv'
plot(x, use.plot3d=FALSE,
    xlab="x1", ylab="x2", npoints=30, ...)

Arguments

x	An epdfmv or ecdfmv object.
use.plot3d	If true, use a 3d plot, otherwise, use a 2d plot.
xlab	The x label.
ylab	The y label.
npoints	The number of grid points in each direction.
...	Other arguments.
all	If true, plot all combinations.

See Also

epdfmv, ecdfmv

Examples

#plot an empirical multivariate cumulative distribution function
#(with m=2)
data (trees)
attach (trees)
ecdfmv.f = ecdfmv (cbind (Height, Volume) )
plot (ecdfmv.f, TRUE)

empirical documentation built on Dec. 3, 2018, 1:04 a.m.