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

0 vote134 views1 answer
R remove spaces in column names
R
1 vote173 views1 answer
Make a sequence of timeseries per day in r
R
0 vote173 views1 answer
Repeat sample in r
R
0 vote148 views1 answer
R new column t test p-value
R
0 vote165 views1 answer
Sequence r
R
3 votes157 views2 answers
Create dataframe or table in r
R
1 vote154 views1 answer
R extract everything before character
R
2 votes152 views1 answer
R convert accented characters
R
0 vote138 views1 answer
How to randomly select R
R
0 vote140 views1 answer
R count list
R