R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(RUVcorr)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/RUVcorr/PCAPlot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PCAPlot
> ### Title: Plot principle component analysis for gene expression data.
> ### Aliases: PCAPlot
>
> ### ** Examples
>
> Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1,
+ 250, 100, intercept=FALSE, check.input=FALSE)
> PCAPlot(Y$Y, title="")
[1] "Calculation of principle components finished. Start plotting..."
>
> ## Create random annotation file
> anno<-as.matrix(sample(1:4, dim(Y$Y)[1], replace=TRUE))
> colnames(anno)<-"Factor"
> try(dev.off(), silent=TRUE)
null device
1
> par(mar=c(5.1, 4.1, 4.1, 2.1), mgp=c(3, 1, 0), las=0, mfrow=c(1, 1))
> PCAPlot(Y$Y, anno=anno, Factor="Factor", numeric=TRUE, title="")
[1] "Calculation of principle components finished. Start plotting..."
>
>
>
>
>
> dev.off()
null device
1
>