pcaPlot: Visualize sample relationships

Description Usage Arguments Details Value Examples

Description

pcaPlot takes a loops object plots the individual samples based on the principal components of the loop counts matrix

Usage

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pcaPlot(dlo)

## S4 method for signature 'loops'
pcaPlot(dlo)

Arguments

dlo

A loops object

Details

Groups for the principal component plots are derived from colData and the normalizing factors are also taken from colData. While some loops objects may have non-informative groups or size factors, they should always be present.

Value

A ggplot2 plot

Examples

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rda<-paste(system.file('rda',package='diffloop'),'loops.small.rda',sep='/')
load(rda)
p1 <- pcaPlot(loops.small)

Bioconductor-mirror/diffloop documentation built on June 1, 2017, 7:35 a.m.