![]() This R tutorial describes how to perform a Principal Component Analysis ( PCA) using the built-in R functions prcomp() and princomp(). The basics of Principal Component Analysis ( PCA) have been already described in my previous article : PCA basics. ![]() Make a factor map including the supplementary individuals using factoextra.Calculate the predicted coordinates by hand.A simple function to predict the coordinates of new individuals data.Prediction using Principal Component Analysis.Extract the results for the individuals.Contribution of individuals to the princial components.Cos2 : quality of representation for individuals on the principal components.Coordinates of individuals on the principal components.Contributions of the variables to the principal components.Cos2 : quality of representation for variables on the factor map.Coordinates of variables on the principal components.Graph of variables : The correlation circle.Packages in R for principal component analysis. ![]()
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