plotting_functions

plot_targetted_tbins

plot_tbins

plot_targetted_trials

plot_trials

plot_targetted_typed_trials

plot_targetted_complex_trials

<code>plot_targetted_tbins()</code> plots targetted time data on a trial.
<code>plot_tbins()</code> plots non-targetted time data on a trial.
<code>plot_targetted_trials()</code> plots targetted trial data.
<code>plot_trials()</code> plots non-targetted trial data.
<code>plot_targetted_typed_trials()</code> plots
targetted trial data with a type.
<code>plot_targetted_complex_trials()</code> plots
targetted data with a third variable.

Implementations of canonical associative learning models,
with tools to run experiment simulations, estimate model parameters,
and compare model representations. Experiments and results are
represented using S4 classes and methods.

Victor Navarro

calmr

Canonical Associative Learning Models and their Representations

plotting_functions function

<dl><dt>data</dt>
<dd>A <code>data.frame</code>-like with data to plot.</dd>
<dt>t</dt>
<dd>A numeric vector specifying the trial(s) to plot.
Defaults to the last trial in data.</dd>
<dt>col</dt>
<dd>A string specifying the column of the third variable.</dd></dl>

Arguments

General plotting functions — plotting_functions

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code>-like with data to plot.</dd>


<dt>t</dt>
<dd>A numeric vector specifying the trial(s) to plot.
Defaults to the last trial in data.</dd>


<dt>col</dt>
<dd>A string specifying the column of the third variable.</dd>

</dl>

plotting_functions: General plotting functions

Description

Usage

Value

Arguments