Dataset on kinetic-depth effect for eleven participants.

datasets

Estimates cumulative history for time-series for continuously
viewed bistable perceptual rivalry displays. Computes cumulative history
via a homogeneous first order differential process. I.e., it assumes
exponential growth/decay of the history as a function time and perceptually
dominant state, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>.
Supports Gamma, log normal, and normal distribution families.
Provides a method to compute history directly and example of using the
computation on a custom Stan code.

Alexander (Sasha) Pastukhov

bistablehistory

Cumulative History Analysis for Bistable Perception Time Series

Alexander Pastukhov

kde function

A data frame with 38698 rows and 6 variables:<dl>
<dt>Observer</dt>
<dd>Participant ID.</dd><dt>Display</dt>
<dd>Display, all rows contain <code>"KD"</code></dd><dt>Block</dt>
<dd>Run / block index.</dd><dt>Time</dt>
<dd>Time relative to the run onset in seconds</dd><dt>State</dt>
<dd>Factor with levels <code>"Left"</code>, <code>"Right"</code> (clear states), and <code>"Mixed"</code></dd>
.
<dt>Duration</dt>
<dd>Duration of a dominance phase in seconds. Note that the duration for the last dominance phase is curtailed and, therefore, set to zero.</dd>
</dl>

Format

Kinetic-depth effect data — kde

A data frame with 38698 rows and 6 variables:<dl>
<dt>Observer</dt>
<dd>Participant ID.</dd>

<dt>Display</dt>
<dd>Display, all rows contain <code>"KD"</code></dd>

<dt>Block</dt>
<dd>Run / block index.</dd>

<dt>Time</dt>
<dd>Time relative to the run onset in seconds</dd>

<dt>State</dt>
<dd>Factor with levels <code>"Left"</code>, <code>"Right"</code> (clear states), and <code>"Mixed"</code></dd>
.
<dt>Duration</dt>
<dd>Duration of a dominance phase in seconds. Note that the duration for the last dominance phase is curtailed and, therefore, set to zero.</dd>


</dl>

kde: Kinetic-depth effect data

Description

Usage

Arguments

Format