A tool to streamline the analysis of animal acoustic signal structure. The package offers functions for downloading avian vocalizations from the open-access online repository Xeno-Canto, displaying the geographic extent of the recordings, manipulating sound files, detecting acoustic signals, assessing performance of methods that measure acoustic similarity, conducting cross-correlations, dynamic time warping, measuring acoustic parameters and analysing interactive vocal signals, among others. Functions working iteratively allow parallelization to improve computational efficiency.The code in warbleR can be executed by less experienced R users, but has also been thoroughly commented, which will facilitate further customization by advanced users.
Install/load the package from CRAN as follows:
# From CRAN would be #install.packages("warbleR") #load package library(Rraven)
To install the latest developmental version from github you will need the R package devtools:
# From CRAN would be #install.packages("warbleR") # From github devtools::install_github("maRce10/warbleR") #load package library(warbleR)
The package vignettes provide detailed examples for most warbleR functions. You can pull up the vignettes as follows:
vignette("warbleR_workflow_phase1") vignette("warbleR_workflow_phase2") vignette("warbleR_workflow_phase3")
A full description of the package can be founf in this journal article.
Please cite warbleR as follows:
Araya-Salas, M. and Smith-Vidaurre, G. (2017), warbleR: an r package to streamline analysis of animal acoustic signals. Methods Ecol Evol. 8, 184-191. PDF
NOTE: please also cite the tuneR and seewave packages if you use any spectrogram-creating or acoustic-measuring functions