Visualize sample relationships

Description

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

Usage

pcaPlot(dlo)

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

Arguments

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

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