Make biplot using ggplot.

Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into set of values of linearly un correlated variables. (from wiki) R can preform PCA very simple command “prcomp”. The result can visualise using biplot function. ggplot2 is a plotting system forContinue reading “Make biplot using ggplot.”

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