| plot.cv.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 |
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log.lambda |
If TRUE, use log(lambda) instead of lambda in abscissa |
... |
Other parameters for plot function |
cv.MLGL
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)