Principal component analysis in r

library(FactoMineR)
library(factoextra)
res.pca = FactoMineR::PCA(X, scale.unit = TRUE, ncp = 5, graph = TRUE)
factoextra::fviz_eig(res.pca, addlabels = TRUE, ylim = c(0, 50))

Similar codes

2 votes403 views1 answer
Check type of column in r
R
5 votes582 views6 answers
Rename column in r
R
0 vote373 views1 answer
ISO 2 letter country code in r
R
0 vote421 views1 answer
Read file in r EOF within quoted string
R
1 vote412 views1 answer
R print concatenate
R
0 vote424 views1 answer
R - remove scientific notations
R
0 vote373 views1 answer
Extract rse from lm in r
R
0 vote422 views1 answer
R glm select all variables
R
0 vote412 views1 answer
Logistic inverse CDF in r
R
1 vote401 views1 answer
View table/dataframe in r
R