ddrobust.param

Calculates critical limits for distance values using Data Driven robust approach

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

ddrobust.param function

<dl><dt>U</dt>
<dd>matrix or vector with distance values</dd>
<dt>ncomp</dt>
<dd>number of components</dd>
<dt>alpha</dt>
<dd>significance level for extreme objects</dd>
<dt>gamma</dt>
<dd>significance level for outliers</dd></dl>

Arguments

Calculates critical limits for distance values using Data Driven robust approach — ddrobust.param

<dl>

<dt>U</dt>
<dd>matrix or vector with distance values</dd>


<dt>ncomp</dt>
<dd>number of components</dd>


<dt>alpha</dt>
<dd>significance level for extreme objects</dd>


<dt>gamma</dt>
<dd>significance level for outliers</dd>

</dl>

ddrobust.param: Calculates critical limits for distance values using Data Driven robust approach

Description

Usage

Arguments