I am currently working on a large dataset (count data with species x samples) from which I performed a PCA. What I get is a massive cloud of points, and I would like to color one given species to show where it is located in this cloud (species are my variables here). Here is what it looks like :
I use the package factoextra, and visualize the variables with fviz_pca_var. Is there a way to select one particular species and display it with a color different than the others ?
Thank you for your help
CodePudding user response:
If it's just a single point you want to color, perhaps:
library(tidyverse)
library(factoextra)
library(FactoMineR)
data("iris")
iris$assigned_colors <- NA
# Change the color of the 'individual of interest'
iris[9,]$assigned_colors <- "red"
iris.pca <- PCA(iris[,-c(5,6)], graph = FALSE)
fviz_pca_ind(iris.pca,
geom = "point",
geom.ind = "point")
geom_point(aes(color = iris$assigned_colors))
scale_color_identity()
#> Warning: Removed 149 rows containing missing values (geom_point).