CODEWITHSUNDEEP
rpcafactoextra
anderwyang
anderwyang

Reputation: 2411

In package `factoextra` PCA , in given varialbe , how to know which individual's contribution is high

In package factoextra Principle Component Analysis (PCA),facto_summarize can get variable or individual summary information . How can I get variable and individual summary in one step ?

I mean , want to know in given varialbe ,which individual's contribution is high ? For example , in below code variable X100m 's contribution is 11.756423, then which individual 's contribution are high for 11.756423

library(factoextra)
data(decathlon2)
decathlon2.active <- decathlon2[1:23, 1:10]
res.pca <- prcomp(decathlon2.active,  scale = TRUE)


facto_summarize(res.pca, "var", axes = 1:3)[,-1]

Upvotes: 0

Views: 20

Answers (0)

Related Questions