<h1>R</h1>
<p><a href="https://stat.ethz.ch/mailman/listinfo/r-help" rel="nofollow noreferrer">R-help</a>, and the various <a href="http://www.R-project.org/mail.html" rel="nofollow noreferrer">R Mailing Lists or SIGs</a>, welcome any questions (provided they conform to the <a href="http://www.R-project.org/posting-guide.html" rel="nofollow noreferrer">Posting Guide</a>). Answers generally come within one or two days.</p>
<p><a href="http://www.statmethods.net/" rel="nofollow noreferrer">Quick-R</a> gives a gentle overview of most of the basic R syntax for people coming from SAS, SPSS, or Stata. <a href="https://stackoverflow.com/">Stack Overflow</a> also provides strong support for <a href="https://stackoverflow.com/questions/tagged/r">R questions</a>. Additionally, <a href="http://www.rseek.org/" rel="nofollow noreferrer">rseek.org</a> provides a custom Google search that facilitates queries related to R code, packages, articles, etc. You can search the R documentation and package documentation using <a href="http://www.rdocumentation.org/" rel="nofollow noreferrer">rdocumentation.org</a> site. <a href="https://r-universe.dev/search/" rel="nofollow noreferrer">r-universe</a> features useful reviews of current packages.</p>
<p>The <a href="https://stats.oarc.ucla.edu/" rel="nofollow noreferrer">UCLA Academic Technology Services</a>provide<a href="https://stats.oarc.ucla.edu/r/" rel="nofollow noreferrer"> many worked examples of statistical analyses in R</a>.</p>
<p>If you're looking for visualization ideas, visit the <a href="http://www.r-graph-gallery.com/all-graphs/" rel="nofollow noreferrer">R Graph gallery</a> and the <a href="http://learnr.wordpress.com/" rel="nofollow noreferrer">Learn R blog</a>, both of which feature a wide variety of plots and the accompanying code.  The <a href="http://www.cookbook-r.com/" rel="nofollow noreferrer">Cookbook for R</a> page provides multiple examples and recipes for plotting data (mostly using ggplot2) plus some additional information on using R.</p>
<p>To add the excellent resources list above, same have found <a href="http://www.r-tutor.com/" rel="nofollow noreferrer">the R Tutorial web site</a> to be helpful. <a href="http://www.r-bloggers.com/" rel="nofollow noreferrer">R bloggers</a> is also a helpful feed. That has lots of useful posts from various bloggers and is an excellent way to keep up with new packages and new ways of using existing packages. If you're coming from SAS or SPSS, check out <a href="https://r4stats.com/" rel="nofollow noreferrer">R for SAS and SPSS Users</a>; there is a book with more information in it. An equivalent book for Stata users coming to R is <a href="http://www.springer.com/statistics/computanional+statistics/book/978-1-4419-1317-3" rel="nofollow noreferrer">R for Stata Users</a>. Nice introductory tutorial can be found on <a href="http://ww2.coastal.edu/kingw/statistics/R-tutorials/" rel="nofollow noreferrer">R Tutorials</a> page – it covers introduction to basics of R, using statistical tools such as t-tests, ANOVA, regression and other topics.</p>
<p>There are also some resources listed on our site here: <a href="https://stats.stackexchange.com/questions/138/resources-for-learning-r">Free resources for learning R</a>, and on our <a href="https://stats.stackexchange.com/tags/r/info">R tag wiki</a>.</p>
<p>For learning on more advanced topics in R programming the best resource that is available online is <a href="http://adv-r.had.co.nz/" rel="nofollow noreferrer">Advanced R</a> site by Hadley Wickham. It is an online version of book under the same title. Another resource covering programming issues is <a href="http://www.burns-stat.com/pages/Tutor/R_inferno.pdf" rel="nofollow noreferrer">The R Inferno</a> by Patrick Burns available as pdf file. Those two cover topics that are negligible to most people that use R for statistics but can be crucial if you do actual programming in R and can be helpful in understanding how R works 'under the hood'. If trying to understand better how some R function works, you can always <a href="https://stackoverflow.com/questions/19226816/how-can-i-view-the-source-code-for-a-function">check their source code</a> as R is open-source.</p>
