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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
Bioacoustics is a free R package available in CRAN to analyze audio recordings and automatically extract animal vocalizations. ItcContains all the necessary tools to process audio recordings of various formats (e.g., WAV, WAC, MP3, ZC), filter noisy files, display audio signals, detect and extract automatically acoustic features for further ...
Packages are also available on repositories R-Forge, Omegahat, and GitHub. [24] [25] [26] The Task Views on the CRAN web site list packages in fields such as causal inference, finance, genetics, high-performance computing, machine learning, medical imaging, meta-analysis, social sciences, and spatial statistics.
The RStudio CRAN mirror download logs [11] show that the package is downloaded on average about 2,000 per month from those servers , [12] with a total of over 100,000 downloads since the first release, [13] according to RDocumentation.org, this puts the package in the 15th percentile of most popular R packages . [14]
Cran may refer to: C-RAN, cellular network architecture; Comprehensive R Archive Network; Cran (unit), of uncleaned herring; Representative Council of France's Black ...
This example exposes both a strength and a weakness in the R contributed-package system: CRAN supports this kind of automated testing of contributed packages, but packages contributed to CRAN need not specify the versions of other contributed packages that they use. Procedures for requesting specific versions of packages exist, but contributors ...
It is Red Cup Day at coffee giant Starbucks, an unofficial holiday for java fans who enjoy discounts and rewards. Here's how it works: Stop by a participating Starbucks store on Thursday and get a ...
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.