prep.autoscale

Autoscale (mean center and standardize) values in columns of data matrix.
The use of `max.cov` allows to avoid overestimation of inert variables, which vary
very little. Note, that the `max.cov` value is already in percent, e.g. if `max.cov = 0.1` it
will compare the coefficient of variation of every variable with 0.1
want to use this option simply keep `max.cov = 0`.

Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.

Sergey Kucheryavskiy

mdatools

Multivariate Data Analysis for Chemometrics

prep.autoscale function

<dl><dt>data</dt>
<dd>a matrix with data values</dd>
<dt>center</dt>
<dd>a logical value or vector with numbers for centering</dd>
<dt>scale</dt>
<dd>a logical value or vector with numbers for weighting</dd>
<dt>max.cov</dt>
<dd>columns that have coefficient of variation (in percent) below or equal to `max.cov` will not
be scaled</dd></dl>

Arguments

Autoscale values — prep.autoscale

<dl>

<dt>data</dt>
<dd>a matrix with data values</dd>


<dt>center</dt>
<dd>a logical value or vector with numbers for centering</dd>


<dt>scale</dt>
<dd>a logical value or vector with numbers for weighting</dd>


<dt>max.cov</dt>
<dd>columns that have coefficient of variation (in percent) below or equal to `max.cov` will not
be scaled</dd>

</dl>

prep.autoscale: Autoscale values

Description

Usage

Value

Arguments