prep.autoscale: Autoscale values

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

Autoscale values

Description

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'.

Usage

prep.autoscale(data, center = TRUE, scale = FALSE, max.cov = 0)

Arguments

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

Value

data matrix with processed values

svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.