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 vote387 views1 answer
Reorder columns in r
R
0 vote359 views2 answers
Count r
R
0 vote350 views2 answers
Median of a row dataframe in r
R
1 vote331 views1 answer
Name elements in vector r
R
1 vote353 views1 answer
Variable assignment in r
R
0 vote315 views1 answer
How to remove all attributes from a variables in r
R
2 votes389 views2 answers
R split string column by delimiter
R
0 vote329 views1 answer
How to read multiple csv files from a directory in r
R
2 votes340 views4 answers
Scatter plot
R
0 vote312 views1 answer
R darekn color
R