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 |
|
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)
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