plot.HMT | R Documentation |
HMT
functionPlot the path obtained from HMT
function
## S3 method for class 'HMT' plot( x, log.lambda = FALSE, lambda.lines = FALSE, lambda.opt = c("min", "max", "both"), ... )
x |
|
log.lambda |
If TRUE, use log(lambda) instead of lambda in abscissa |
lambda.lines |
If TRUE, add vertical lines at lambda values |
lambda.opt |
If there is several optimal lambdas, which one to print "min", "max" or "both" |
... |
Other parameters for plot function |
HMT
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 MLGL method res <- MLGL(X, y) out <- HMT(res, X, y) plot(out)
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