A More Aesthetic and Informative PCA Biplot
It is not an overstatement to say that the default output for a Principal Components Analysis (PCA) biplot using the biplot() function in R is gross. This presentation will show you how to use the output from the prcomp() function with the ggplot2 library to create a more aesthetically pleasing and informative PCA biplot.
Created by Wade K. Copeland | Privacy Policy | This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
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