plot.cv.MLGL {MLGL} | R Documentation |
cv.MLGL
functionPlot the cross-validation obtained from cv.MLGL
function
## S3 method for class 'cv.MLGL' plot(x, log.lambda = FALSE, ...)
x |
|
log.lambda |
If TRUE, use log(lambda) instead of lambda in abscissa |
... |
Other parameters for plot function |
set.seed(42) # Simulate gaussian data with block-diagonal variance matrix containing 12 blocks of size 5 X <- simuBlockGaussian(50, 12, 5, 0.7) # Generate a response variable y <- X[,c(2,7,12)]%*%c(2,2,-2) + rnorm(50,0,0.5) # Apply cv.MLGL method res <- cv.MLGL(X,y) # Plot the cv error curve plot(res)