Rescale

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Outputs 4 Options 5 Examples 6 See Also

Purpose

Scales data back to original scaling.

Synopsis

rx = rescale(x,means,stds,options)

Description

Rescales a matrix x, using the means means and standard deviation stds vectors specified.

Inputs

• x = matrix of input data
• means = vector of means to be used for rescaling
• stds = vector of standard deviations to be used for rescaling

If only two input arguments are supplied, the function will correct the means only.

Outputs

• rx = rescaled version of the input data x

Options

options = a structure array with the field:

• stdthreshold = [0] scalar value or vector of standard deviation threshold values. If a standard deviation is below its corresponding threshold value, the threshold value will be used in lieu of the actual value. A scalar value is used as a threshold for all variables.

Examples

rx = rescale(x,means) rescales a mean centered matrix x using a vector of means means.

rx = rescale(x,means,stds) rescales a previously autoscaled matrix x using a vector of means means, and vector of standard deviations stds.

See Also

auto, medcn, mncn, npreprocess, preprocess, scale