PCbiplot: Biplot from a principal components analysis (PCA)

In ssinari/smisc: Miscellaneous functions used by shripad sinari

Description

Biplot from a principal components analysis (PCA)

Usage

PCbiplot(PC, d, colors, legend_t, varnames, labels, title, x = "PC1",
  y = "PC2")

Arguments

PC	a prcomp object obtained by conducting a principal components analysis.
d	a data frame of metadata containing the sample identifiers and categorical classification of the samples.
colors	a character vector of same length as the number of levels in the classfication.
legend_t	the name of the column in d that gives the sample classification.
varnames	a character vector of names for the variables in the biplot.
labels	a logical indicating whether samples should be labelled.
title	a title for the biplot.
x	principal component to be plotted along the horizontal (x) axis or abcissa.
y	principal component to be plotted along the vertical (y) axis or ordinate.

Value

A ggplot2 object

ssinari/smisc documentation built on June 6, 2019, 7:55 a.m.