biplot.princomp(x, choices=1:2, scale=1, ...) biplot.factanal(x, choices=1:2, scale=1, ...)
"princomp"
or
"factanal"
.
lambda
, are the singular values of the data
in the case of principal components and the square root of the sum of
squared loadings in the case of factor analysis.
The variables are scaled by
lambda ^ scale
and the observations are
scaled by
lambda ^ (1-scale)
.
See Gabriel (1971).
biplot.default
may be given.
These are methods for the generic function
biplot
.
Gabriel, K. R. (1971). The biplot graphical display of matrices with applications to principal component analysis. Biometrika 58 453-467.
prim4.pcr <- princomp(prim4, covlist=cov.mve(prim4), cor=T) biplot(prim4.pcr) biplot(prim4.pcr, 2:3)