plot.cv.sparseSVM {sparseSVM} | R Documentation |
Plot the cross-validation curve for a "cv.sparseSVM" object against the
lambda
values used, along with standard error bars.
## S3 method for class 'cv.sparseSVM' plot(x, log.l = TRUE, nvars = TRUE, ...)
x |
A |
log.l |
Should |
nvars |
If |
... |
Other graphical parameters to |
Produces a plot of mean cv errors at each lambda
along with upper and lower standard error bars.
Congrui Yi and Yaohui Zeng
Maintainer: Congrui Yi <eric.ycr@gmail.com>
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)