Normalise_F

This function normalises each column in F to row sum

internal

Determine the chlorophyll a (Chl a) concentrations of different
phytoplankton groups based on their pigment biomarkers. The method uses
non-negative matrix factorisation and simulated annealing to minimise error
between the observed and estimated values of pigment concentrations
(Hayward et al. (2023) <doi:10.1002/lom3.10541>).
The approach is similar to the widely used 'CHEMTAX' program
(Mackey et al. 1996) <doi:10.3354/meps144265>, but is more straightforward,
accurate, and not reliant on initial guesses for the pigment to Chl a
ratios for phytoplankton groups.

Alexander Hayward

phytoclass

Estimate Chla Concentrations of Phytoplankton Groups

Tylar Murray

Sebastian Di Geronimo

Mohd Aasim Maqsood Khan

Andy McKenzie

Normalise_F function

<dl><dt>Fmat</dt>
<dd>A matrix or data.frame with the last column containing non-zeros</dd></dl>

Arguments

This function normalises each column in F to row sum — Normalise_F

<dl>

<dt>Fmat</dt>
<dd>A matrix or data.frame with the last column containing non-zeros</dd>

</dl>

Normalise_F: This function normalises each column in F to row sum

Description

Usage

Value

Arguments