Snv

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Optional Inputs 3.3 Outputs 4 See Also

Purpose

Standard Normal Variate scaling.

Synopsis

[xcorr,mns,sds] = snv(x,options);  %perform snv scaling

x = snv(xcorr,mns,sds);  %undo snv

Description

Scales rows of the input x to be mean zero and unit standard deviation. This is the same as autoscaling the transpose of x.

Inputs

• x = M by N matrix of data to be scaled (class "double" or "dataset").

Optional Inputs

• options = options structure passed to function "auto" when performing SNV scaling. See auto.m for available options (not valid for undo operation).

• mns = a vector of length M of means, and

• sds = vector of length M of standard deviations.

Outputs

• xcorr = the scaled data (xcorr will be the same class as x),

• mns = vector of means for each row, and

• sds = vector of standard deviations for each row.

To rescale or "undo" SNV, inputs are xcorr, mns, and sds from a previous SNV call. The output will be the original x.

See Also

auto, normaliz, preprocess