plot.minLambda {mrbsizeR} | R Documentation |
Plot of objective function for finding appropriate smoothing parameters.
Description
The objective function G
is plotted on a grid. The minimum is
indicated with a white point.
Usage
## S3 method for class 'minLambda'
plot(x, ...)
Arguments
x |
Output of function |
... |
Further graphical parameters can be passed. |
Details
When minimizing over 2 \lambda
's, one plot is generated: (\lambda_2
vs \lambda_3
).
With 3 \lambda
's, 3 plots are generated: \lambda_2
vs. \lambda_3
,
\lambda_2
vs. \lambda_4
and \lambda_3
vs. \lambda_4
.
Value
Plot of G
on a grid.
Examples
set.seed(987)
sampleData <- matrix(stats::rnorm(100), nrow = 10)
sampleData[4:6, 6:8] <- sampleData[4:6, 6:8] + 5
# Minimization of two lambdas on a 20-by-20-grid
minLamOut <- MinLambda(Xmu = c(sampleData), mm = 10, nn = 10,
nGrid = 20, nLambda = 3)
# Plot of the objective function
plot(x = minLamOut)
[Package mrbsizeR version 1.3 Index]