DFATest

Data frame containing source and mixtures

data

level for the approximate F-test decision

niveau

Performs a stepwise forward variable selection using the Wilk's Lambda criterion.

Quantifies the provenance of the sediments in a catchment or study area. Based on a comprehensive characterization of the sediment sources and the end sediment mixtures a mixing model algorithm is applied to the sediment mixtures in order to estimate the relative contribution of each potential source. The package includes several statistical methods such as Kruskal-Wallis test, discriminant function analysis ('DFA'), principal component plot ('PCA') to select the optimal subset of tracer properties. The variability within each sediment source is also considered to estimate the statistical distribution of the sources contribution.

Ivan Lizaga

fingerPro

Sediment Source Fingerprinting

Borja Latorre

Leticia Gaspar

Ana Navas

Vince Q Vu

DFATest function

<dl><dt>data</dt>
<dd>Data frame containing source and mixtures</dd>
<dt>niveau</dt>
<dd>level for the approximate F-test decision</dd></dl>

Arguments

Discriminant function analysis test — DFATest

<dl>

<dt>data</dt>
<dd>Data frame containing source and mixtures</dd>


<dt>niveau</dt>
<dd>level for the approximate F-test decision</dd>

</dl>

DFATest: Discriminant function analysis test

Description

Usage

Value

Arguments