distPCA: PCA Plot

In kmuench/DESeqAid: DESeqAid: Kristin's favorite functions for her DESeq-based differential expression pipelines

Description

Plots a principal components analysis you've already performed on your data.

Usage

distPCA(cds.pca, condition, colorCondName, PC_A, PC_B, title)

Arguments

cds.pca	x field of cds.pca, output of prcomp() function
condition	column of sampleTable data frame (required for DESeq import) with the factor you want to use to color points
colorCondName	Character string - what do you want the point-coloring factor to be called?
PC_A	Character string - which PC to be plotted on X axis, e.g. 'PC1'
PC_B	Character string - which PC to be plotted on Y axis, e.g. 'PC2'
title	Character string - title of plot

kmuench/DESeqAid documentation built on Oct. 14, 2020, 4:45 a.m.