Package: voiceR 0.1.0

voiceR: Voice Analytics for Social Scientists

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>.

Authors:Francesc Busquet [aut, cre], Christian Hildebrand [aut]

voiceR_0.1.0.tar.gz
voiceR_0.1.0.zip(r-4.7)voiceR_0.1.0.zip(r-4.6)voiceR_0.1.0.zip(r-4.5)
voiceR_0.1.0.tgz(r-4.6-any)voiceR_0.1.0.tgz(r-4.5-any)
voiceR_0.1.0.tar.gz(r-4.6-any)voiceR_0.1.0.tar.gz(r-4.5-any)
voiceR_0.1.0.tgz(r-4.5-emscripten)
voiceR.pdf |voiceR.html✨
voiceR/json (API)

# Install 'voiceR' in R:

install.packages('voiceR', repos = c('https://voiceanalyticshub.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

testAudioData - VoiceR test Audio Data
testAudioList - VoiceR test Audio List

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 257 downloads 22 exports 183 dependencies

Last updated from:d38cfebd5f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	248
source / vignettes	OK	232
linux-release-x86_64	OK	244
macos-release-arm64	OK	168
macos-oldrel-arm64	OK	300
windows-devel	OK	179
windows-release	OK	178
windows-oldrel	OK	199
wasm-release	OK	171

Exports:autoExtract autoReport comparisonPlots getComponents getConditions getDimensions getIds MissDimPerId normalityPlots normalizeData preprocess readAudio saveAudio tableANOVA tableDunn tableKruskal tableNormality tableSchreirer tableSimpleMainEffects tableSummary tableTukey voiceRApp

Dependencies:abind askpass backports base64enc bit bit64 boot broom bslib cachem car carData cellranger class cli clipr codetools coin colorspace commonmark corrplot cowplot cpp11 crayon crosstalk curl data.table Deriv DescTools digest doBy doParallel dplyr DT dtw dunn.test e1071 evaluate Exact expm farver fastmap FlexParamCurve fontawesome forcats foreach forecast Formula fracdiff fs FSA generics ggplot2 ggpubr ggrepel ggsci ggsignif ggthemes gld glue gridExtra gtable haven highr hms htmltools htmlwidgets httpuv httr isoband iterators jquerylib jsonlite kableExtra knitr labeling later lattice lazyeval libcoin lifecycle lme4 lmom lmtest magrittr MASS Matrix MatrixModels matrixStats memoise mgcv microbenchmark mime minqa modelr modeltools multcomp multcompView mvtnorm nlme nloptr nnet nonlinearTseries nortest numDeriv openssl otel pbkrtest phia phonTools pillar pkgconfig plotly plotrix plyr polynom prettyunits progress promises proxy purrr quadprog quantmod quantreg R6 rappdirs rbibutils RColorBrewer rcompanion Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas rematch rlang rmarkdown rootSolve rstatix rstudioapi S7 sandwich sass scales seewave shiny shinyFiles shinyjs signal soundgen sourcetools SparseM stringi stringr survival svglite sys systemfonts textshaping TH.data tibble tidyr tidyselect timeDate tinytex tseries TTR tuneR tzdb urca utf8 vctrs viridisLite vroom withr xfun xml2 xtable xts yaml zoo

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

Package: voiceR 0.1.0

voiceR: Voice Analytics for Social Scientists

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