plotMultiHist: Plot multiple histograms in a single plot

In WGCNA: Weighted Correlation Network Analysis

Plot multiple histograms in a single plot

Description

This function plots density or cumulative distribution function of multiple histograms in a single plot, using lines.

Usage

plotMultiHist(
   data, 
   nBreaks = 100, 
   col = 1:length(data), 
   scaleBy = c("area", "max", "none"), 
   cumulative = FALSE, 
   ...)

Arguments

data	A list in which each component corresponds to a separate histogram and is a vector of values to be shown in each histogram.
nBreaks	Number of breaks in the combined plot.
col	Color of the lines. Should be a vector of the same length as data.
scaleBy	Method to make the different histograms comparable. The counts are scaled such that either the total area or the maximum are the same for all histograms, or the histograms are shown without scaling.
cumulative	Logical: should the cumulative distribution be shown instead of the density?
...	Other graphical arguments.

Value

Invisibly,

x	A list with one component per histogram (component of data), giving the bin midpoints
y	A list with one component per histogram (component of data), giving the scaled bin counts

Note

This function is still experimental and behavior may change in the future.

Author(s)

Peter Langfelder

See Also

hist

Examples

data = list(rnorm(1000), rnorm(10000) + 2);
plotMultiHist(data, xlab = "value", ylab = "scaled density")

WGCNA documentation built on Sept. 18, 2024, 5:08 p.m.