plot_var_app

<code>plot_var_app</code> calculates and plots within-subject/item standard deviation,
along with standardized by-subject/item means for a given interest area, within
a given time window.

Gaze data from the Visual World Paradigm requires significant
preprocessing prior to plotting and analyzing the data. This package
provides functions for preparing visual world eye-tracking data for
statistical analysis and plotting. It can prepare data for linear
analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as
well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
Additionally, it contains various plotting functions for creating grand average and
conditional average plots. See the vignette for samples of the functionality.
Currently, the functions in this package are designed for handling data
collected with SR Research Eyelink eye trackers using Sample Reports created
in SR Research Data Viewer.  While we would like to add functionality
for data collected with other systems in the future, the current package is
considered to be feature-complete; further updates will mainly entail maintenance
and the addition of minor functionality.

Vincent Porretta

VWPre

Tools for Preprocessing Visual World Data

Aki-Juhani Kyröläinen

Jacolien van Rij

Juhani Järvikivi

plot_var_app function

<dl><dt>data</dt>
<dd>A data table object output by either <code>bin_prop</code>. 
<code>transform_to_elogit</code>, or <code>create_binomial</code>.</dd></dl>

Arguments

Plots diagnostic plots of subject/item variance. — plot_var_app

<dl>

<dt>data</dt>
<dd>A data table object output by either <code>bin_prop</code>. 
<code>transform_to_elogit</code>, or <code>create_binomial</code>.</dd>

</dl>

plot_var_app: Plots diagnostic plots of subject/item variance.

Description

Usage

Arguments

Examples