draw_pca: draw PCA plots

In tinyarray: Expression Data Analysis and Visualization

draw PCA plots

Description

do PCA analysis and print 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 factor with duplicated character or factor
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 paramters from fviz_pca_ind

Value

a pca plot according to exp and grouped by group.

Author(s)

Xiaojie Sun

See Also

draw_heatmap;draw_volcano;draw_venn

Examples

draw_pca(t(iris[,1:4]),iris$Species)
draw_pca(t(iris[,1:4]),iris$Species,style = "ggplot2")
draw_pca(t(iris[,1:4]),iris$Species,style = "3D")
#change color
draw_pca(t(iris[,1:4]),iris$Species,color = c("#E78AC3", "#A6D854", "#FFD92F"))

tinyarray documentation built on Aug. 18, 2023, 9:07 a.m.