R: Biplot for Principal Components (objects of class 'Pca')

biplot-methods {rrcov}

R Documentation

Biplot for Principal Components (objects of class 'Pca')

Produces a biplot from an object (derived from) Pca-class.

    ## S4 method for signature 'Pca'
biplot(x, scale=1, ...)

`x`	an object of class (derived from) `"Pca"`.
`scale`	The variables are scaled by `lambda ^ scale` and the observations are scaled by `lambda ^ (1-scale)` where `lambda` are the singular values as computed by the Principal Components function. Normally `0 <= scale <= 1`, and a warning will be issued if the specified `scale` is outside this range.
`...`	optional arguments to be passed to the internal graphical functions.

a plot is produced on the current graphics device.

biplot: signature(x = Pca): Plot a biplot, i.e. represent both the observations and variables of a matrix of multivariate data on the same plot. See also biplot.princomp.

Gabriel, K. R. (1971). The biplot graphical display of matrices with applications to principal component analysis. Biometrika, 58, 453–467.

require(graphics)
biplot(PcaClassic(USArrests))

[Package rrcov version 1.3-8 Index]