unmix_c

Data frame containing sediment sources data

sources

Data frame containing sediment mixtures data

samples

Number of samples in each hypercube dimension

trials

Iterations in the source variability analysis

iter

Seed for the random number generator

seed

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.

unmix_c: Mixing model

Description

Usage

Arguments

Value