| plot.plaqreffect {plaqr} | 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   | 
select | 
 vector of indices of nonlinear terms in   | 
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)
[Package plaqr version 2.0 Index]