pca_plot: PCA plot of the samples

In INRAE-LPGP/prostPostprocess: Provide utility fonction to postprocess prost! output

PCA plot of the samples

Description

PCA plot of the samples

Usage

pca_plot(
  deseq_transformation,
  condition_list = "conditions",
  title = "Project",
  add_theme = T,
  draw_arrows = T,
  n_arrows = 10,
  draw_ellipses = T,
  draw_sample_label = F
)

Arguments

deseq_transformation	DESeq transformation (e.g. normTransform(dds))
condition_list	a string vector describing the different conditions
title	title to add to the plot, default : "Project"
add_theme	if TRUE then a theme is added to the figure, labels, title, colors...
draw_arrows	if TRUE then miR contribution arrows are added to the figure
n_arrows	number of arrow to add to the figure, up to 10
draw_ellipses	if TRUE then ellipses around conditions are added to the figure
draw_sample_label	if TRUE then sample names are added to the figure

Value

ggplot point

INRAE-LPGP/prostPostprocess documentation built on April 14, 2023, 12:59 p.m.