hist.splitSet: Overview Histogram for splitSets

In adSplit: Annotation-Driven Clustering

Description

Draws a histogram of empirical p-values and shows the corresponding q-values corrected for multiple testing.

Usage

## S3 method for class 'splitSet'
hist(x, main = "Distribution of p-Values", 
              xlab = "p-values", col = "grey", xlim = c(0, 1), ...)

Arguments

x	object of type splitSet. Should hold a considerable number of splits.
main	main title of the histogram.
xlab	legend for the x-axis.
col	color for the histogram bars.
xlim	limits for the x-axis (p-values).
...	further parameters passed on to the default hist function.

Details

This function draws a regular histogram of empirical p-values observed in the splitSet at hand. The corresponding q-values, corrected by the method suggested by Benjamini-Hochberg, are plotted into the same graph. The scale for the q-values is shown at the left hand side of the plot.

Author(s)

Claudio Lottaz

See Also

adSplit

Examples

data(golubKEGGSplits)
hist(golubKEGGSplits, col="red")

adSplit documentation built on Nov. 8, 2020, 5:40 p.m.