experimentToTable

Takes the output of <code>runExperiment</code>, extracts the dataframes containing the ecological memory patterns generated by <code>computeMemory</code>, and binds them together into a single dataframe ready for further analyses or plotting.

Quantifies ecological memory in long time-series using Random Forest models ('Benito', 'Gil-Romera', and 'Birks' 2019 <doi:10.1111/ecog.04772>) fitted with 'ranger' (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Ecological memory is assessed by modeling a response variable as a function of lagged predictors, distinguishing endogenous memory (lagged response) from exogenous memory (lagged environmental drivers). Designed for palaeoecological datasets and simulated pollen curves from 'virtualPollen', but applicable to any long time-series with environmental drivers and a biotic response.

Blas M. Benito

memoria

Quantifying Ecological Memory in Palaeoecological Datasets and
Other Long Time-Series

experimentToTable function

<dl><dt>experiment.output</dt>
<dd>list, output of <code>runExperiment</code>. Default: <code>NULL</code>.</dd>
<dt>parameters.file</dt>
<dd>dataframe of simulation parameters. Default: <code>NULL</code>.</dd></dl>

Arguments

Blas M. Benito &lt;blasbenito@gmail.com&gt;

Author

Turns the outcome of runExperiment into a long table. — experimentToTable

<dl>

<dt>experiment.output</dt>
<dd>list, output of <code>runExperiment</code>. Default: <code>NULL</code>.</dd>


<dt>parameters.file</dt>
<dd>dataframe of simulation parameters. Default: <code>NULL</code>.</dd>

</dl>

experimentToTable: Turns the outcome of `runExperiment` into a long table.

Description

Usage

Value

Arguments

Author

Details

See Also