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
Other:
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









