correlationWithPhenotypesHeatMap: correlationWithPhenotypesHeatMap

In Gibbsdavidl/ProCoNA: Protein co-expression network analysis (ProCoNA).

Description

Plots a heatmap showing the Pearson correlation of modules with phenotypes.

Usage

correlationWithPhenotypesHeatMap(net, phenotypes, modules, 
    plotName, title, textSize)

Arguments

net	The ProCoNA network object.
phenotypes	Matrix of phenotypic traits, can include character strings (converted to factors).
modules	Vector of modules to plot. Default is all modules.
plotName	Name of the saved plot, NULL to show on screen.
title	Plot title.
textSize	The font size of the correlations shown in each module-phenotype pair.

Value

the module eigenvector correlations

Author(s)

David L Gibbs

Examples

data(ProCoNA_Data)
#net1 <- buildProconaNetwork("pepnet", peptideData, pow=12)
n <- length(samples(net1))
phenotypes <- matrix(rnorm(10*n), nrow=60)
moduleCors <- correlationWithPhenotypesHeatMap(net1, phenotypes, modules = 1:7, 
    plotName = "Phenotype Associations", title = "Module-trait relationships", textSize = 0.5)

Gibbsdavidl/ProCoNA documentation built on May 8, 2019, 7:51 p.m.