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sequenceR: A Simple Sequencer for Data Sonification

A rudimentary sequencer to define, manipulate and mix sound samples. The underlying motivation is to sonify data, as demonstrated in the blog <https://globxblog.github.io/>, the presentation by Renard and Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: tuneR
Suggests: knitr, rmarkdown, ggplot2, gganimate, tidyr, dplyr, av
Published: 2025-01-13
DOI: 10.32614/CRAN.package.sequenceR
Author: Benjamin Renard ORCID iD [aut, cre, cph], INRAE [fnd], European Commission [fnd] (This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 835496)
Maintainer: Benjamin Renard <benjamin.renard at inrae.fr>
BugReports: https://github.com/benRenard/sequenceR/issues
License: GPL-3
URL: https://github.com/benRenard/sequenceR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sequenceR results

Documentation:

Reference manual: sequenceR.pdf
Vignettes: Getting started (source, R code)

Downloads:

Package source: sequenceR_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: sequenceR_1.0.1.zip
macOS binaries: r-release (arm64): sequenceR_1.0.1.tgz, r-oldrel (arm64): sequenceR_1.0.1.tgz, r-release (x86_64): sequenceR_1.0.1.tgz, r-oldrel (x86_64): sequenceR_1.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.