struct

This data table contains ERP amplitude data from 39 subjects listening to speech and music.

datasets

Provides functions that compute predictions from Generalised
Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble.
These can be plotted with a generic plot()-method that uses 'ggplot2' or
plotted as any other data frame. The main function is predict_gam().

Stefano Coretta

tidygam

Tidy Prediction and Plotting of Generalised Additive Models

struct function

A tibble with 17160 observations and 6 variables:<dl>
<dt>t</dt>
<dd>Time from stimulus onset in milliseconds.</dd><dt>electrode</dt>
<dd>Electrode number.</dd><dt>voltage</dt>
<dd>Electrode voltage at time t.</dd><dt>stimulus.condition</dt>
<dd>Language vs music.</dd><dt>grammar.condition</dt>
<dd>Structural type (grammatical vs ungrammatical).</dd>
</dl>

Format

ERP to structural violation in music and language — struct

A tibble with 17160 observations and 6 variables:<dl>
<dt>t</dt>
<dd>Time from stimulus onset in milliseconds.</dd>

<dt>electrode</dt>
<dd>Electrode number.</dd>

<dt>voltage</dt>
<dd>Electrode voltage at time t.</dd>

<dt>stimulus.condition</dt>
<dd>Language vs music.</dd>

<dt>grammar.condition</dt>
<dd>Structural type (grammatical vs ungrammatical).</dd>


</dl>

struct: ERP to structural violation in music and language

Description

Usage

Arguments

Format