FactoMineR and factoextra
: Principal Component Analysis Visualization - R software and data mining.
This article describes :
- How to perform a principal component analysis using R software and FactoMineR package
- How to visualize the output of the PCA using the R package factoextra
PCA is used sometimes for prediction problems : This means that we can predict the coordinates of new supplementary variables (quantitatives and qualitatives) and supplementary individuals using the informations provided by the previously performed PCA. This can be done easily using FactoMineR
If you want to make predictions with PCA and to visualize the position of the supplementary variables/individuals on the factor map using ggplot2 : then factoextra can help you. It’s quick! write less and do more…#rstats