stand2

<code>stand2</code> center and scale a data matrix with the parameters of another one

Classification method obtained through linear programming.
It is advantageous with respect to the classical developments when the distribution of the variables
involved is unknown or when the number of variables is much greater than the number of individuals.
Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming".
<doi:10.1371/journal.pone.0270403>.

Maria Jose Nueda

lpda

Linear Programming Discriminant Analysis

stand2 function

<dl><dt>X</dt>
<dd>the data matrix from which mean and standard deviation is computed</dd>
<dt>X2</dt>
<dd>the data matrix to center and scale</dd></dl>

Arguments

stand2 center and scale a data matrix with the parameters of another one — stand2

<dl>

<dt>X</dt>
<dd>the data matrix from which mean and standard deviation is computed</dd>


<dt>X2</dt>
<dd>the data matrix to center and scale</dd>

</dl>

stand2: stand2 center and scale a data matrix with the parameters of another one

Description

Usage

Value

Arguments