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ks (version 1.7.0)

pre.scale: 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.

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.

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.

Examples

Run this code
data(unicef); unicef <- as.matrix(unicef)
unicef.sp <- pre.sphere(unicef)
var(unicef.sp)

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