plot.llCV: Plot the cross-validation curve produced by cv.grpCox or...

In grpCox: Penalized Cox Model for High-Dimensional Data with Grouped Predictors

Description

Plots the cross-validation curve, and upper and lower standard deviation curves, as a function of the lambda values used.

Usage

## S3 method for class 'llCV'
plot(x,...)

Arguments

x	fitted cv.grpCox or cv.grpCoxOverlap object
...	further arguments to plot

Details

A plot is produced, and nothing is returned.

Value

No return value.

Author(s)

Xuan Dang <[e-mail]>

Examples

set.seed(200)
N <- 50
p <- 9
x <- matrix(rnorm(N * p), nrow = N)
beta <- c(.65,.65,0,0,.65,.65,0,.65,0)
hx <- exp(x %*% beta) 
ty <- rexp(N,hx) 
tcens <- 1 - rbinom(n=N, prob = 0.2, size = 1)
y <- data.frame(illt=ty, ills=tcens)
names(y) <- c("time", "status")

g <- c(1,1,2,2,3,3,2,3,2)
m <- c(sqrt(2),sqrt(4),sqrt(3))

cvfit <- cv.grpCox(x,y,g,m,penalty="glasso")
plot.llCV(cvfit)

grpCox documentation built on Sept. 16, 2020, 9:07 a.m.