KW_test

This function excludes from the original data frame the properties which do not show significant differences between sources.

"This package quantifies the provenance of sediments in a catchment or study area. Based on a characterization of the sediment sources and the end sediment mixtures, a mixing model algorithm is applied to the sediment mixtures to estimate the relative contribution of each potential source. The package includes several graphs to help users in their data understanding, such as box plots, correlation, PCA, and LDA graphs. In addition, new developments such as the Consensus Ranking (CR), Consistent Tracer Selection (CTS), and Linear Variability Propagation (LVP) methods are included to correctly apply the fingerprinting technique and increase dataset and model understanding. A new method based on Conservative Balance (CB) method has also been included to enable the use of isotopic tracers."

Borja Latorre

fingerPro

A Comprehensive Package for Sediment Source Unmixing

Ivan Lizaga

Leticia Gaspar

Leticia Palazon

Ana Navas

Vince Q Vu

KW_test function

<dl><dt>data</dt>
<dd>Data frame containing source and mixtures</dd>
<dt>pvalue</dt>
<dd>p-value threshold</dd></dl>

Arguments

Kruskal-Wallis rank sum test — KW_test

<dl>

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


<dt>pvalue</dt>
<dd>p-value threshold</dd>

</dl>

KW_test: Kruskal-Wallis rank sum test

Description

Usage

Value

Arguments