LDA_plot

The function performs a linear discriminant analysis and displays the data in the relevant dimensions.

"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

LDA_plot function

<dl><dt>data</dt>
<dd>Data frame containing source and mixtures data</dd>
<dt>P3D</dt>
<dd>Boolean to switch between 2 to 3 dimensional chart</dd>
<dt>text</dt>
<dd>Boolean to show or not the identification number of each sample point in the plot</dd>
<dt>colors</dt>
<dd>Allows choosing between a different set of colors in the plots</dd>
<dt>interactive</dt>
<dd>Boolean to determine whether the plot should be interactive</dd></dl>

Arguments

Linear discriminant analysis chart — LDA_plot

<dl>

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


<dt>P3D</dt>
<dd>Boolean to switch between 2 to 3 dimensional chart</dd>


<dt>text</dt>
<dd>Boolean to show or not the identification number of each sample point in the plot</dd>


<dt>colors</dt>
<dd>Allows choosing between a different set of colors in the plots</dd>


<dt>interactive</dt>
<dd>Boolean to determine whether the plot should be interactive</dd>

</dl>

LDA_plot: Linear discriminant analysis chart

Description

Usage

Arguments