Online Test Banks
Score higher
See Online Test Banks
Learning anything is easy
Browse Online Courses
Mobile Apps
Learning on the go
Explore Mobile Apps
Dummies Store
Shop for books and more
Start Shopping

How to Find Help Using R Mailing Lists

The R Development Core Team actively supports four different mailing lists. At the R mailing list website, you can find up-to-date information about these lists, as well as find links to subscribe or unsubscribe from the lists. When you subscribe to a mailing list, you can choose to receive either individual e-mail messages or a daily digest.

The four important mailing lists are

  • R-help: This is the main R Help mailing list. Anyone can register and post messages on this list, and people discuss a wide variety of topics (for example, how to install packages, how to interpret R’s output of statistical results, or what to do in response to warnings and error messages).

  • R-announce: This list is for announcements about significant developments in the R code base.

  • R-packages: This list is where package authors can announce news about their packages.

  • R-devel: This is a specialist mailing list aimed at developers of functions or new R packages — in other words, serious R developers! It’s more about programming than about general topics.

Before posting a message to any of the R mailing lists, make sure that you read the posting guidelines. In particular, make sure you include a good, small, reproducible example.

In addition to these general mailing lists, you also can participate in about 20 special interest group mailing lists.

The R mailing list website also contains links to more than 20 mailing lists for special interest groups. We list them here by topic:

Operating systems:

  • R-SIG-Mac: Mac ports of R

  • R-SIG-Debian: Debian ports of R

  • R-SIG-Fedora: Fedora and Redhat ports of R

Advanced modeling:

  • R-sig-dynamic-models: Dynamic simulation models in R

  • R-sig-Epi: Epidemiological data analysis

  • R-sig-ecology: Ecological data analysis

  • R-sig-gR: Graphical models

  • R-sig-networks: Network- or graph-related software within R

  • R-sig-phylo: Phylogenetic and comparative methods and analyses

  • R-sig-Robust: Robust statistics

  • R-sig-mixed-models: Mixed effect models, notably lmer()-related

Fields of application for R:

  • R-SIG-Finance: Finance

  • R-sig-Geo: Geographical data and mapping

Specialist development:

  • R-sig-DB: Database Interfaces

  • R-SIG-GUI: GUI development

  • R-SIG-HPC: High-performance computing


  • R-sig-Jobs: Announcements of jobs where R is used

  • R-sig-mediawiki: The R extension for MediaWiki

  • R-sig-QA: Quality assurance and validation

  • R-sig-teaching: Teaching statistics (and more) using R

  • R-sig-Wiki: The development of an “R wiki”

  • Add a Comment
  • Print
  • Share
blog comments powered by Disqus

Inside Sweepstakes

Win $500. Easy.