draw_pca: draw PCA plots

In tinyarray: Expression Data Analysis and Visualization

draw PCA plots

Description

do PCA analysis and warning a PCA plot

Usage

draw_pca(
  exp,
  group_list,
  color = c("#2874C5", "#f87669", "#e6b707", "#868686", "#92C5DE", "#F4A582", "#66C2A5",
    "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854", "#FFD92F", "#E5C494", "#B3B3B3"),
  addEllipses = TRUE,
  style = "default",
  color.label = "Group",
  title = "",
  ...
)

Arguments

exp	A numeric matrix
group_list	A character or factor vector with one label per sample; character input will be converted to factor and unused levels will be dropped.
color	color vector
addEllipses	logical,add ellipses or not
style	plot style,"default","ggplot2"and "3D"
color.label	color legend label
title	plot title
...	other parameters from fviz_pca_ind

Value

a PCA plot according to exp and grouped by group_list.

Author(s)

Xiaojie Sun

See Also

draw_heatmap;draw_volcano;draw_venn

Examples

draw_pca(t(iris[,1:4]),iris$Species)
#change color
draw_pca(t(iris[,1:4]),iris$Species,color = c("#E78AC3", "#A6D854", "#FFD92F"))


draw_pca(t(iris[,1:4]),iris$Species,style = "ggplot2")


draw_pca(t(iris[,1:4]),iris$Species,style = "3D")

tinyarray documentation built on Aug. 2, 2026, 9:07 a.m.