The R Journal
Abbreviated title (ISO 4) | R J. |
|---|---|
| Discipline | Statistical Computing |
| Language | English |
| Edited by | Michael Lawrence |
| Publication details | |
| Publisher |
The R Foundation (Austria) |
Publication history | 2009-Present |
| Frequency | Half-yearly |
| Yes | |
| 1.038 | |
| Indexing | |
| ISSN |
2073-4859 |
| Links | |
The R Journal is an online, open-access, refereed journal published by The R Foundation since 2009. The journal publishes research articles in statistical computing that are of interest to users of the R programming language. The journal includes a news section that supersedes the R News newsletter, which was published from 2001--2008.
R itself is one of the largest and fastest growing statistical systems in the world, and, as a language, is used well beyond the domain of statistics proper. The R journal serves as the central organ for reporting new work on the R system itself, as well as many of the most influential packages and coding processes.
The journal is the official outlet for updates on the R Foundation, the CRAN repository system, R [1] and R applications, and the Bioconductor project. It also published articles fore-shadowing new development directions for R.[2]
The R Journal features short- to medium-length articles. As well as innovations in the R system itself, these cover new packages – it is often the primary citable explanatory documentation for packages. For instance the core grid graphics packages, or parallel processing.[3] It also publishes articles on best-practice and innovation in modelling, e.g. in multivariate statistics,[4] and multi-level modelling. Many of these articles have been cited dozens of times.[5] Google Scholar Metrics give the R Journal an h5-index of 15 and an h5-median of 27.[6]
The journal is indexed in the ISI Web of Knowledge.[7] Despite including a large fraction of non-citable news-update articles, it had a 2014 impact factor of 1.038 and a 5-year IF of 1.455.
As such it is influential in statistics, academia, industry R&D and computer science. Because R is Open Source, (and the journal is permissively licensed) it is of interest to developers who support this model for development.
The current editor in chief is Michael Lawrence. Past editors-in-chief were Vince Carey (2009), Peter Dalgaard (2010), Heather Turner (2011), Martyn Plummer (2012), Hadley Wickham (2013), Deepayan Sarkar (2014) and Bettina Grün (2015). Each editor in chief serves for one year and two issues.
References
- ↑ Duncan Murdoch and Simon Urbanek (2009). "The new R help system" (PDF). The R Journal. Retrieved 25 Feb 2016.
- ↑ Chambers, John M. (2009). "Facets of R: Special invited paper on "The Future of R"" (PDF). The R Journal. Retrieved 25 Feb 2016.
- ↑ Jochen Knaus, Christine Porzelius, Harald Binder, Guido Schwarzer (2009). "Easier Parallel Computing in R with snowfall and sfCluster" (PDF). The R Journal. Retrieved 25 Feb 2016.
- ↑ John Fox, Michael Friendly, and Sanford Weisberg (2013). "Hypothesis Tests for Multivariate Linear Models Using the car Package." (PDF). The R Journal. Retrieved 27 Feb 2016.
- ↑ "Core articles for R Journal". Google Scholar. Retrieved 6 May 2016.
- ↑ "Metrics for R Journal". Google Scholar. Retrieved 6 May 2016.
- ↑ "CAP". admin-apps.webofknowledge.com. Retrieved 2016-03-01.