Data Analysis in R | R Tutorials & Statistics

See Video   ⮞  ☝ AGRON Stats May 26, 2020 Introduction Import data set Standardize the data set Extraction of components (eigenvalues) Eigen values & vectors Proportion of variance Computation of principal component vectors Computation of vectors from stats package Display a screeplot Correlation of original variables with PCs Displaying correlation of original variables with PCs Plotting principle components Introduction Principal component analysis (PCA) reduces a set of correlated numeric variables to a smaller set of orthogonal components. Each component is a linear combination of the original variables, ordered by the amount of variance it captures. PCA is exploratory and its usefulness depends on the variables, preprocessing, and scientific question. PCA will generate as many components as there are variables. When the first few compo...