pca_plotter: Plots PC1 by PC2 using ggplot

In lefeverde/basicOmics: Package for basic statistical tests on Omics data

Description

Creates a PCA plot using ggplot2

Usage

pca_plotter(
  transformed_data,
  sample_map,
  leg_row_num = 3,
  gene_num = Inf,
  return_data = FALSE
)

Arguments

transformed_data	transformed (e.g., log, vst, rlog) expression data
sample_map	df of sample annotations
leg_row_num	how many rows the leg should be
gene_num	number of genes (ranked by variance) to use
return_data	whether to return the pca data

Value

ggplot object

lefeverde/basicOmics documentation built on Feb. 28, 2021, 11:03 p.m.