The advantage of R over most common sound analysis software (e.g. Raven, SAP, Avisoft) is its higher flexibility, which allows the implementation of custom made analyses that better fit the research questions and the characteristics of the vocalizations. However, this requires some proficiency in R coding that may dissuade beginners. Hopefully the codes I make available here will encourage bioacousticians to take advantage of this powerful tool.
Most of the tools I have developed for acoustic analysis are now available in the package warbleR. I will also post R scripts to detail the usage of new addtions to this package. Check out the article describing warbleR. Please cite this paper when using any of the package functions.
Sound analysis in R has been made possible owing to the awesome package seewave. I recommend taking a look at seewave’s website to learn more about its different tools. I will also post code containing functions from the packages monitoR and tuneR.Posts: