RUVcorr (version 1.4.2)

plot.optimizeParameters: Plots an object of class optimizeParameters.

Description

plot.optimizeParameters generates a heatmap of the quality assessment values stored in the object of class optimizeParameters .

Usage

"plot"(x, main = colnames(opt$All.results)[3:dim(opt$All.results)[2]], ...)

Arguments

x

An object of the class optimizeParameters.

main

A character string describing title of plot.

...

Further arguments passed to or from other methods.

Value

plot.optimizeParameters returns a plot.

Details

The black point in the heatmap denotes the optimal parameter combination.

See Also

optimizeParameters

Examples

Y<-simulateGEdata(500, 500, 10, 2, 5, g=2, Sigma.eps=0.1,
250, 100, intercept=FALSE, check.input=FALSE)
opt<-optimizeParameters(Y, kW.hat=c(1,5,10), nu.hat=c(100,100000),
nc_index=251:500, methods=c("fnorm"), cpus=1, parallel=FALSE)
try(dev.off(), silent=TRUE)
plot(opt, main="Heatmap Plot")