Plot of objective function for finding appropriate smoothing parameters.

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 MinLambda.

...

Further graphical parameters can be passed.

Value

Plot of \(G\) on a grid.

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. \(\lambda_4\).

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)