plot.cde: Plots conditional densities

In hdrcde: Highest Density Regions and Conditional Density Estimation

Description

Produces stacked density plots or highest density region plots for a univariate density conditional on one covariate.

Usage

## S3 method for class 'cde'
plot(
  x,
  firstvar = 1,
  mfrow = n2mfrow(dim(x$z)[firstvar]),
  plot.fn = "stacked",
  x.name,
  margin = NULL,
  ...
)

Arguments

x	Output from cde.
firstvar	If there is more than one conditioning variable, firstvar specifies which variable to fix first.
mfrow	If there is more than one conditioning variable, mfrow is passed to par before plotting.
plot.fn	Specifies which plotting function to use: "stacked" results in stacked conditional densities and "hdr" results in highest density regions.
x.name	Name of x (conditioning) variable for use on x-axis.
margin	Marginal density of conditioning variable. If present, only conditional densities corresponding to non-negligible marginal densities will be plotted.
...	Additional arguments to plot.

Value

If plot.fn=="stacked" and there is only one conditioning variable, the function returns the output from persp. If plot.fn=="hdr" and there is only one conditioning variable, the function returns the output from hdr.cde. When there is more than one conditioning variable, nothing is returned.

Author(s)

Rob J Hyndman

References

Hyndman, R.J., Bashtannyk, D.M. and Grunwald, G.K. (1996) "Estimating and visualizing conditional densities". Journal of Computational and Graphical Statistics, 5, 315-336.

See Also

hdr.cde, cde, hdr

Examples

faithful.cde <- cde(faithful$waiting,faithful$eruptions,
	 x.name="Waiting time", y.name="Duration time")
plot(faithful.cde)
plot(faithful.cde,plot.fn="hdr")

hdrcde documentation built on Jan. 18, 2021, 9:05 a.m.