# Voice Analytics for Social Scientists

## Documentation for package ‘voiceR’ version 0.1.0

- DESCRIPTION file.

## Help Pages

autoExtract | Automatically analyze audio files
autoReport | Generate a Summary Report
comparisonPlots | Create boxplots for extracted audio features
createEmptyDF | Create an Empty data.frame
getComponents | Get Components Name and Positions
getConditions | Get Conditions
getDimensions | Get Dimensions
getIds | Get IDs
MissDimPerId | What IDs have missing dimensions?
normalityPlots | Normality Plots
normalizeData | Normalize audio data using Box-Cox transformation
preprocess | Preprocess list of Audio objects
readAudio | Read Audio Files
saveAudio | Save Audio Files
tableANOVA | Create a Table of ANOVA results
tableDunn | Create a Table for the results of a Dunn's test
tableKruskal | Create a table for Kruskal-Wallis test results
tableNormality | Create a table for Shapiro Wilk results
tableSchreirer | Create a table for the Scheirer-Ray-Hare test results
tableSimpleMainEffects | Create a table for simple main effects analysis
tableSummary | Create a summary table
tableTukey | Create a table for Tukey HSD test results
testAudioData | voiceR test Audio Data
testAudioList | voiceR test Audio List
voiceRApp | Start voiceR Shiny App