plot.optimizeParameters {RUVcorr} | R Documentation |
optimizeParameters
.plot.optimizeParameters
generates a heatmap of the quality assessment values
stored in the object of class optimizeParameters
.
## S3 method for class 'optimizeParameters' plot(x, main = colnames(opt$All.results)[3:dim(opt$All.results)[2]], ...)
x |
An object of the class |
main |
A character string describing title of plot. |
... |
Further arguments passed to or from other methods. |
The black point in the heatmap denotes the optimal parameter combination.
plot.optimizeParameters
returns a plot.
Saskia Freytag
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")