comparisonPlots

Generates boxplots for each exracted feature. Plots can be split by experimental condition.

Simplifies and largely automates practical voice analytics for social science research. This package offers an accessible and easy-to-use interface, including an interactive Shiny app, that simplifies the processing, extraction, analysis, and reporting of voice recording data in the behavioral and social sciences. The package includes batch processing capabilities to read and analyze multiple voice files in parallel, automates the extraction of key vocal features for further analysis, and automatically generates APA formatted reports for typical between-group comparisons in experimental social science research. A more extensive methodological introduction that inspired the development of the 'voiceR' package is provided in Hildebrand et al. 2020 <doi:10.1016/j.jbusres.2020.09.020>.

Francesc Busquet

voiceR

Voice Analytics for Social Scientists

Christian Hildebrand

comparisonPlots function

<dl><dt>audioData</dt>
<dd>A data.frame generated by the autoExtract() function.</dd>
<dt>by</dt>
<dd>An optional character vector indicating column(s) from which the comparison groups are to be retrieved.</dd>
<dt>measures</dt>
<dd>An optional character vector indicating the name of the variables to be plotted.</dd>
<dt>normalSig</dt>
<dd>Set significance level to test for normality assumptions. Default corresponds to "0.05".</dd>
<dt>avoidNormalCheck</dt>
<dd>Logical value forcing to avoid checking for normality. When defined as TRUE, it is assumed that the data is normally distributed. Default corresponds to FALSE.</dd></dl>

Arguments

Create boxplots for extracted audio features — comparisonPlots

<dl>

<dt>audioData</dt>
<dd>A data.frame generated by the autoExtract() function.</dd>


<dt>by</dt>
<dd>An optional character vector indicating column(s) from which the comparison groups are to be retrieved.</dd>


<dt>measures</dt>
<dd>An optional character vector indicating the name of the variables to be plotted.</dd>


<dt>normalSig</dt>
<dd>Set significance level to test for normality assumptions. Default corresponds to "0.05".</dd>


<dt>avoidNormalCheck</dt>
<dd>Logical value forcing to avoid checking for normality. When defined as TRUE, it is assumed that the data is normally distributed. Default corresponds to FALSE.</dd>

</dl>

comparisonPlots: Create boxplots for extracted audio features

Description

Usage

Value

Arguments

Examples