RSS’s Top R Package and Software List
Link to the last RSS article here: Fulfilling the Need for Speed: A brief introduction to parallel processing in the R environment. -- Ed.
By Dr. Richard Herrington, Research and Statistical Support Consultant
There has been a trend in publishing “Top 10” lists of the most essential R packages. We would be remiss to not include our own “Top” list of essential R packages that we believe are critical for users who are beginning to use R. We include packages that are both data manipulation oriented and also modeling oriented. Most if not all of these packages can be found at:
These distinctions are somewhat arbitrary; we list the packages that we have had the most experience with and have found useful.
Data Manipulation and Modeling
Packages Oriented Toward Graphical Rendering and Report Generation
Packages Oriented Primarily Towards Modeling
Linear, nonlinear and random effects regression
Model selection and time series imputation
Supporting Software Installations
We would also include as essential the set of compilation tools - Rtools, found at: http://cran.r-project.org/bin/windows/Rtools/. Rtools is required if you are interesting in compiling an existing R pacakges or creating your own R package.
And lets not forget the wonderful R IDE Rstudio found at: https://www.rstudio.com/ide/
Until next time, this concludes our short, but essential list of R tools.