Visualize twocomponents simultaneously
1 2 3 4 5 6 7 
x 
a pcaRes object 
choices 
which two pcs to plot 
scale 
The variables are scaled by
lambda^scale and the observations are
scaled by lambda ^ (1scale) where

pc.biplot 
If true, use what Gabriel (1971) refers to as a "principal component biplot", with lambda = 1 and observations scaled up by sqrt(n) and variables scaled down by sqrt(n). Then the inner products between variables approximate covariances and distances between observations approximate Mahalanobis distance. 
... 
optional arguments to be passed to

This is a method for the generic function 'biplot'. There is
considerable confusion over the precise definitions: those of the
original paper, Gabriel (1971), are followed here. Gabriel and
Odoroff (1990) use the same definitions, but their plots actually
correspond to pc.biplot = TRUE
.
a plot is produced on the current graphics device.
Kevin Wright, Adapted from biplot.prcomp
1 2 3 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.