R: Plot the cross-validation curve for a "cv.sparseSVM" object

plot.cv.sparseSVM {sparseSVM}

R Documentation

Plot the cross-validation curve for a "cv.sparseSVM" object

Description

Plot the cross-validation curve for a "cv.sparseSVM" object against the lambda values used, along with standard error bars.

Usage

## S3 method for class 'cv.sparseSVM'
plot(x, log.l = TRUE, nvars = TRUE, ...)

Arguments

`x`	A `"cv.sparseSVM"` object.
`log.l`	Should `log(lambda)` be used instead of `lambda` for the X-axis? Default is TRUE.
`nvars`	If `TRUE` (the default), places an axis on top of the plot denoting the number of variables with nonzero coefficients at each `lambda`.
`...`	Other graphical parameters to `plot`

Details

Produces a plot of mean cv errors at each lambda along with upper and lower standard error bars.

Author(s)

Congrui Yi and Yaohui Zeng
Maintainer: Congrui Yi <eric.ycr@gmail.com>

Examples

X = matrix(rnorm(1000*100), 1000, 100)
b = 3
w = 5*rnorm(10)
eps = rnorm(1000)
y = sign(b + drop(X[,1:10] %*% w + eps))

cv.fit <- cv.sparseSVM(X, y, ncores = 2, seed = 1234)
plot(cv.fit)
plot(cv.fit, log.l = FALSE)

[Package sparseSVM version 1.1-6 Index]