plot.sparseSVM {sparseSVM} | R Documentation |
Produce a plot of the coefficient paths for a fitted
"sparseSVM"
object.
## S3 method for class 'sparseSVM' plot(x, xvar = c("lambda", "norm"), log.l = TRUE, nvars = TRUE, alpha = 1, ...)
x |
A |
xvar |
What is on the X-axis. |
log.l |
Should |
nvars |
If |
alpha |
A value between 0 and 1 for alpha transparency channel(0 means transparent and 1 means opaque), helpful when the number of variables is large. |
... |
Other graphical parameters to |
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)) fit = sparseSVM(X, y) par(mfrow = c(2,2)) plot(fit) plot(fit, nvars = FALSE, alpha = 0.5) plot(fit, log.l = FALSE) plot(fit, xvar = "norm")