Using prcomp and varimax for PCA in R
See my new blog for R programming at http://rollingyours.wordpress.com Best Viewed in Large or Full Screen Mode This video shows how to use the prcomp and varimax functions in R to accomplish a Principal Components Analysis. We cover the following steps: 1) Read in the Data, 2) Plot a Correlation Matrix, 3) Call prcomp, 4) DotPlot the PCA loadings, 5) Apply the Kaiser Criterion, 6) Make a screeplot, 7) Plot the Biplot, and 8) Apply the varimax rotation. Download Code from https://raw.githubusercontent.com/ste... The example data comes from: Abdi, H., & Williams, L.J. (2010). Principal Component Analysis, Wiley Interdisciplinary Reviews: Computational Statistics, 2, 433-459
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