RUVcorr (version 1.4.2)

correlationPlot: Correlation plot to compare estimated correlations with true correlations.

Description

correlationPlot produces a correlation plot to compare true and estimated

Usage

correlationPlot(true, est, plot.genes = sample(1:dim(true)[1], 18), boxes = TRUE, title, line = -1)

Arguments

true

A matrix of true gene-gene correlation values.

est

A matrix of estimated gene expression values.

plot.genes

A vector of indices of genes used in plotting; the suggested length of this vector is 18.

boxes

A logical scalar to indicate whether boxes are drawn around sets of 6 genes; only available if plot.genes has length 18.

title

A character string describing the title of the plot.

line

on which MARgin line, starting at 0 counting outwards.

Value

correlationPlot returns a plot.

Details

The upper triangle of the correlation plot shows the true gene-gene correlation values, while the lower triangle of the correlation plot shows the gene-gene correlation values calculated from the estimated gene expression values. This is possible because correlation matrices are symmetric.

See Also

corrplot

Examples

Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1,
250, 100, intercept=FALSE, check.input=FALSE)
correlationPlot(Y$Sigma, Y$Y, title="Raw",
plot.genes=c(sample(1:100, 6), sample(101:250, 6), sample(251:500, 6)))