R: Nonlinear Effect Plot for a Partially Linear Additive...

plot.plaqreffect

R Documentation

Nonlinear Effect Plot for a Partially Linear Additive Quantile Regression Model

Description

Makes nonlinear effect plots for the nonlinear effects in a fit returned from the nonlinEffect function. Note: you cannot use this function to plot a "plaqr" object.

Usage

## S3 method for class 'plaqreffect'
plot(x, select=NULL, rug = TRUE, jit = TRUE, titles = NULL, pages = 0, type="l", ...)

Arguments

`x`	a `plaqreffect` object returned from nonlinEffect.
`select`	vector of indices of nonlinear terms in `x` to be plotted, by default all.
`rug`	if TRUE, a rugplot for the x-coordinate is plotted.
`jit`	if TRUE, the x-values of the rug plot are jittered.
`titles`	title(s) as vector of character strings, by default titles are chosen for each plot as “Effect of CovariateName (tau=tau)”.
`pages`	number of pages desired for the plots.
`type`	the type of plot that should be drawn.
`...`	additional arguments for the plotting algorithm.

Author(s)

Adam Maidman

Examples

data(simData)
fit <- plaqr(y~.,~z1+z2,data=simData)
eff <- nonlinEffect(fit, select=c("z1","z2"), renames=c("Length", "Height"))
eff

plot(eff)
plot(eff, select=1, col="red")
plot(eff, select=c(2,1), titles=c("Effect Z1","Effect Z2"))
plot(eff, select=1, col="red", lwd=4)

par(mfrow=c(1,2))
plot(eff)