min_max

datasets

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

min_max function

<div class="section" id="min-max">
<h3><code>min_max</code></h3>
A data frame with 51 rows and 4 columns:<dl>
<dt>class</dt>
<dd>XX</dd><dt>Pig_Abbrev</dt>
<dd>XX</dd><dt>min</dt>
<dd>XX</dd><dt>max</dt>
<dd>max</dd>...</dl></div>

Format

min_max data — min_max

<div class='section' id='min-max'>
<h3><code>min_max</code></h3>


A data frame with 51 rows and 4 columns:<dl>
<dt>class</dt>
<dd>XX</dd>

<dt>Pig_Abbrev</dt>
<dd>XX</dd>

<dt>min</dt>
<dd>XX</dd>

<dt>max</dt>
<dd>max</dd>

...

</dl>

</div>

min_max data

min_max: min_max data

Description

Usage

Arguments

Format

`min_max`