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voiceR (version 0.1.0)

Voice Analytics for Social Scientists

Description

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 .

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Version

Install

install.packages('voiceR')

Monthly Downloads

183

Version

0.1.0

License

GPL-2

Maintainer

Francesc Busquet

Last Published

September 12th, 2023

Functions in voiceR (0.1.0)

normalizeData

Normalize audio data using Box-Cox transformation
preprocess

Preprocess list of Audio objects
tableANOVA

Create a Table of ANOVA results
tableKruskal

Create a table for Kruskal-Wallis test results
tableSimpleMainEffects

Create a table for simple main effects analysis
readAudio

Read Audio Files
tableNormality

Create a table for Shapiro Wilk results
testAudioData

voiceR test Audio Data
saveAudio

Save Audio Files
tableDunn

Create a Table for the results of a Dunn's test
tableSchreirer

Create a table for the Scheirer-Ray-Hare test results
tableTukey

Create a table for Tukey HSD test results
voiceRApp

Start voiceR Shiny App
testAudioList

voiceR test Audio List
tableSummary

Create a summary table
getIds

Get IDs
autoReport

Generate a Summary Report
normalityPlots

Normality Plots
getDimensions

Get Dimensions
createEmptyDF

Create an Empty data.frame
MissDimPerId

What IDs have missing dimensions?
autoExtract

Automatically analyze audio files
comparisonPlots

Create boxplots for extracted audio features
getComponents

Get Components Name and Positions
getConditions

Get Conditions