jm.crit

Calculate critical limits for distance values using Jackson-Mudholkar 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

jm.crit function

<dl><dt>residuals</dt>
<dd>matrix with PCA residuals</dd>
<dt>eigenvals</dt>
<dd>vector with eigenvalues for PCA components</dd>
<dt>alpha</dt>
<dd>significance level for extreme objects</dd>
<dt>gamma</dt>
<dd>significance level for outliers</dd></dl>

Arguments

Calculate critical limits for distance values using Jackson-Mudholkar approach — jm.crit

<dl>

<dt>residuals</dt>
<dd>matrix with PCA residuals</dd>


<dt>eigenvals</dt>
<dd>vector with eigenvalues for PCA components</dd>


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


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

</dl>

jm.crit: Calculate critical limits for distance values using Jackson-Mudholkar approach

Description

Usage

Value

Arguments