rqPen (version 4.1.3)

plot.rq.pen.seq.cv: Plots cross validation results from a rq.pen.seq.cv object

Description

Provides plots of cross-validation results by lambda. If septau is set to TRUE then plots the cross-validation results for each quantile. If septau is set to FALSE then provides one plot for cross-validation results across all quantiles.

Usage

# S3 method for rq.pen.seq.cv
plot(
  x,
  septau = ifelse(x$fit$penalty != "gq", TRUE, FALSE),
  tau = NULL,
  logLambda = TRUE,
  main = NULL,
  ...
)

Value

Plots of the cross validation results by lambda.

Arguments

x

The rq.pen.seq.cv object

septau

If set to true then optimal tuning parameters are selected seperately for each quantile and there will be a different plot for each quanitle.

tau

Quantiles of interest.

logLambda

Whether log(lambda) is used for the x-axis

main

Title to the plot

...

Additional parameters sent to the plot function.

Author

Ben Sherwood,

Examples

set.seed(1)
x <- matrix(rnorm(100*8,sd=1),ncol=8)
y <- 1 + x[,1] + 3*x[,3] - x[,8] + rt(100,3)
m1 <- rq.pen.cv(x,y,tau=c(.1,.3,.7))
plot(m1)
plot(m1,septau=FALSE)