CorrSample
(Package: maCorrPlot) :
Sample correlations for random pairs of genes
CorrSample calculates the correlations, standard deviations and some auxiliary variables for random pairs of genes. A plot of the resulting object that shows that these correlations dependend systematically on the genes' variability, suggests a lack of normalization.
CutCI
(Package: maCorrPlot) :
Calculate confidence intervals for grouped values
CutCI groups values of one variable into intervals with the same number of observations each and computes confidence intervals for the mean of another variable in each interval.
plot.corr.sample provides the main functionality of package maCorrPlot: it plots the correlation of random pairs of genes against their variability. Systematic deviations of the plot from a constant zero indicate lack of normalization of the underlying expression matrix.
providing 
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