crisp (version 1.0.0)

plot.cvError: Plots Cross-Validation Curve for crispCV.

Description

This function plots the cross-validation curve for a series of models fit using crispCV. The cross-validation error with +/-1 standard error is plotted for each value of lambda considered in the call to crispCV with a dotted vertical line indicating the chosen lambda.

Usage

"plot"(x, showSE = T, ...)

Arguments

x

An object of class cvError, which results from calling summary on an object of class crispCV.

showSE

A logical value indicating whether the standard error of the curve should be plotted.

...

Additional arguments to be passed, which are ignored in this function.

Value

None.

Examples

## Not run: 
# #See ?'crisp-package' for a full example of how to use this package
# 
# #generate data (using a very small 'n' for illustration purposes)
# set.seed(1)
# data <- sim.data(n = 15, scenario = 2)
# 
# #fit model and select lambda using 2-fold cross-validation
# #note: use larger 'n.fold' (e.g., 10) in practice
# crispCV.out <- crispCV(X = data$X, y = data$y, n.fold = 2)
# 
# #plot the cross-validation error
# plot(summary(crispCV.out))
# ## End(Not run)