experimentToTable

list, output of <code><a rd-options="" href="/link/runExperiment?package=memoria&version=1.0.0" data-mini-rdoc="memoria::runExperiment">runExperiment</a></code>.

experiment.output

dataframe of simulation parameters.

parameters.file

vector of character strings with the names of the columns of <code>simulations.file</code>.

sampling.names

boolean. If TRUE, the average pseudo R-squared of the random forest models used to analyze the ecological memory pattern of the virtual taxa are shown with the taxon traits.

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.

Tools to quantify ecological memory in long time-series with Random Forest models (Breiman 2001 <doi:10.1023/A:1010933404324>) fitted with the 'ranger' library (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Particularly oriented to palaeoecological datasets and simulated pollen curves produced by the 'virtualPollen' package, but also applicable to other long time-series involving a set of 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>.</dd>
<dt>parameters.file</dt>
<dd>dataframe of simulation parameters.</dd>
<dt>sampling.names</dt>
<dd>vector of character strings with the names of the columns of <code>simulations.file</code>.</dd>
<dt>R2</dt>
<dd>boolean. If TRUE, the average pseudo R-squared of the random forest models used to analyze the ecological memory pattern of the virtual taxa are shown with the taxon traits.</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>.</dd>


<dt>parameters.file</dt>
<dd>dataframe of simulation parameters.</dd>


<dt>sampling.names</dt>
<dd>vector of character strings with the names of the columns of <code>simulations.file</code>.</dd>


<dt>R2</dt>
<dd>boolean. If TRUE, the average pseudo R-squared of the random forest models used to analyze the ecological memory pattern of the virtual taxa are shown with the taxon traits.</dd>

</dl>

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

Description

Usage

Value

Arguments

Author

Details

See Also