pre.transform: Pre-sphering and pre-scaling

In ks: Kernel Smoothing

Pre-sphering and pre-scaling

Description

Pre-sphered or pre-scaled version of data.

Usage

pre.sphere(x, mean.centred=FALSE)
pre.scale(x, mean.centred=FALSE)

Arguments

x	matrix of data values
mean.centred	flag to centre the data values to have zero mean. Default is FALSE.

Details

For pre-scaling, the data values are pre-multiplied by \mathbf{S}^{-1/2} and for pre-scaling, by \mathbf{S}_D^{-1/2} where \mathbf{S} is the sample variance and \mathbf{S}_D is \mathrm{diag} \, (S_1^2, S_2^2, \dots, S_d^2) where S_i^2 is the i-th marginal sample variance.

Value

Pre-sphered or pre-scaled version of data. These pre-transformations are required for implementing the plug-in Hpi selectors and the smoothed cross validation Hscv selectors.

Examples

data(unicef)
unicef.sp <- pre.sphere(as.matrix(unicef))

ks documentation built on June 8, 2025, 9:38 p.m.