Package: warbleR 1.1.34
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 packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.
Authors:
warbleR_1.1.34.tar.gz
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warbleR.pdf |warbleR.html✨
warbleR/json (API)
NEWS
# Install 'warbleR' in R: |
install.packages('warbleR', repos = c('https://marce10.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marce10/warbler/issues
Pkgdown site:https://marce10.github.io
- comp_matrix - Example matrix listing selections to be compared by 'cross_correlation'
- lbh_selec_table - Example data frame of selections (i.e. selection table).
- sim_coor_sing - Simulated coordinated singing events.
- sth_annotations - Example data frame of annotations from a Scale-throated hermit song (i.e. selection table).
animal-acoustic-signalsaudio-processingbioacousticsspectrogramstreamline-analysiscpp
Last updated 17 days agofrom:d281bfb6ab. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 17 2025 |
R-4.5-win-x86_64 | OK | Jan 17 2025 |
R-4.5-linux-x86_64 | OK | Jan 17 2025 |
R-4.4-win-x86_64 | OK | Jan 17 2025 |
R-4.4-mac-x86_64 | OK | Jan 17 2025 |
R-4.4-mac-aarch64 | OK | Jan 17 2025 |
R-4.3-win-x86_64 | OK | Jan 17 2025 |
R-4.3-mac-x86_64 | OK | Jan 17 2025 |
R-4.3-mac-aarch64 | OK | Jan 17 2025 |
Exports:by_element_estcatalogcatalog2pdfcheck_selscheck_sound_filescolor_spectrocompare_methodsconsolidatecross_correlationcut_selsduration_sound_filesenvelopeffDTWfilter_selsfind_clippingfix_extended_selection_tablefix_wavsfreq_DTWfreq_rangefreq_range_detecfreq_tsfull_spectrogram2pdffull_spectrogramsgapsimage_to_waveinflectionsinfo_sound_filesis_extended_selection_tableis_selection_tablemake.selection.tablemap_xcmfcc_statsmove_imagesmp32wavmulti_DTWopen_wdoverlapping_selsphylo_spectroplot_coordinationquerxcquery_xcread_sound_fileread_waveremove_channelsremove_silencerename_est_wavesresample_estselection_tablesig2noisesimulate_songssnr_spectrogramssong_analysissort_colmssound_pressure_levelspectro_analysisspectrogramssplit_sound_filestailor_selstest_coordinationtrack_freq_contourtrack_harmonictweak_spectrowarbleR_optionswav_2_flacwpd_features
Dependencies:askpassbase64encbioacousticsbitopsbriocallrclicrayoncurldescdiffobjdigestdtwevaluatefastmapfftwfsgluehighrhtmltoolshttrjsonliteknitrlifecyclemagrittrMASSmimemomentsmonitoRNatureSoundsopensslpbapplypkgbuildpkgloadpraiseprocessxproxypsR6RcppRCurlrjsonrlangrprojrootseewavesignalstringistringrsystestthattuneRvctrswaldowithrxfunyaml
Introduction to warbleR
Rendered froma_warbleR.Rmd
usingknitr::rmarkdown
on Jan 17 2025.Last update: 2024-08-29
Started: 2024-08-29
Annotation data format
Rendered fromb_annotation_data_format.Rmd
usingknitr::rmarkdown
on Jan 17 2025.Last update: 2025-01-17
Started: 2024-08-29
Visual inspection and signal classification
Rendered fromc_warbleR_workflow_02.Rmd
usingknitr::rmarkdown
on Jan 17 2025.Last update: 2024-12-10
Started: 2024-12-10
Acoustic (dis)similarity, coordinated singing and simulating songs
Rendered fromd_warbleR_workflow_03.Rmd
usingknitr::rmarkdown
on Jan 17 2025.Last update: 2024-12-10
Started: 2024-12-10