make.pca: Run a simple Principle Components Analysis

In definitelysean/sgaphd: Sean Gets A PhD: Research Convenience Functions

Description

This function is a wrapper for plotting results from prcomp. It takes a matrix of expression values, and some extra info to color and label the individual points (which are presumed to be samples in a gene expression experiment for my purposes).

Usage

make.pca(expression.matrix, sample.labels, sample.colors = c(),
  title.addition = "")

Arguments

expression.matrix	a matrix of gene expression values
sample.labels	The names which should be drawn over each point in the plot, i.e. the column (sample) names of the expression matrix
sample.colors	Colors for each sample (column) to be plotted
title.addition	A subtitle to put under the main title ("Principle Components Analysis (PCA)")

Value

The results from prcomp()

definitelysean/sgaphd documentation built on May 15, 2019, 3:20 a.m.