warbleR: Streamline Bioacoustic Analysis

Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.

Version: 1.1.24
Depends: R (≥ 3.2.1), tuneR, seewave (≥ 2.0.1), NatureSounds
Imports: dtw, fftw, graphics, grDevices, monitoR, parallel, pbapply, RCurl, rjson, stats, utils, methods
Suggests: knitr, ggplot2, rmarkdown, jpeg, ape, bioacoustics, soundgen, wavethresh, png, pracma, Sim.DiffProc, maps, leaflet
Published: 2020-07-01
Author: Marcelo Araya-Salas ORCID iD [aut, cre], Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya at ucr.ac.cr>
BugReports: https://github.com/maRce10/warbleR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://marce10.github.io/warbleR
NeedsCompilation: no
Language: en-US
Citation: warbleR citation info
Materials: README NEWS
CRAN checks: warbleR results

Downloads:

Reference manual: warbleR.pdf
Vignettes: 1. Introduction to warbleR
2. Import sound files and select signals
3. Visual inspection and signal classification
4. Acoustic (dis)similarity, coordinated singing and simulating songs
Package source: warbleR_1.1.24.tar.gz
Windows binaries: r-devel: warbleR_1.1.24.zip, r-release: warbleR_1.1.24.zip, r-oldrel: warbleR_1.1.24.zip
macOS binaries: r-release: warbleR_1.1.24.tgz, r-oldrel: warbleR_1.1.24.tgz
Old sources: warbleR archive

Reverse dependencies:

Reverse depends: baRulho
Reverse imports: Rraven

Linking:

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