raw_dataset

Generates a raw (non-averaged) dataset by sampling individual observations
from the mean and standard deviation values provided in an averaged input data frame.
For each source, it generates 'n' observations for each tracer by sampling from a
normal distribution using the provided mean and standard deviation. Mixture data
is appended directly without sampling.

"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

raw_dataset function

<dl><dt>data</dt>
<dd>A data frame containing averaged source and mixture data. It is expected
to have columns for tracer means (prefixed with "mean_"), standard deviations
(prefixed with "sd_"), and a column "n" indicating the number of observations
for each source.</dd></dl>

Arguments

Build a raw dataset from averaged data — raw_dataset

<dl>

<dt>data</dt>
<dd>A data frame containing averaged source and mixture data. It is expected
to have columns for tracer means (prefixed with "mean_"), standard deviations
(prefixed with "sd_"), and a column "n" indicating the number of observations
for each source.</dd>

</dl>

raw_dataset: Build a raw dataset from averaged data

Description

Usage

Value

Arguments