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help.Rmd
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help.Rmd
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---
title: "Helpful Links and Refs for R, RStudio, Git & Github"
---
## R
See YouTube Video for Installing R, RStudio and Rmarkdown at [https://youtu.be/MsV5dJ2reQ4](https://youtu.be/MsV5dJ2reQ4)
* Download R from [https://cran.r-project.org/](https://cran.r-project.org/)
* Download RStudio Desktop from [https://www.rstudio.com/products/rstudio/download/](https://www.rstudio.com/products/rstudio/download/)
### Learning R
* [RStudio Education](https://education.rstudio.com/)
* [Data Camp](https://www.datacamp.com/)
+ DataCamp is another great place to start learning online. You need to create an account to get started. There are many FREE courses available on R.
* [UCLA Institute for Digital Research and Education (IDRE)](http://www.ats.ucla.edu/stat/r/)
+ The IDRE by UCLA is an excellent source for help with many statistical software pages and analyses including R.
* [SWIRL](http://swirlstats.com/)
+ `swirl` is actually an R package you install from within R. `swirl` teaches you R programming and data science interactively, at your own pace, and right in the R console!
* [Quick-R](http://www.statmethods.net/index.html)
+ This is an excellent site for quick help and resources for using R and statistical analyses in general. The site is owned and maintained by Rob Kabacoff, who also authored the very good book "R in Action".
* [R Tutorial - Kelly Black at UGA](http://www.cyclismo.org/tutorial/R/)
### Getting Help with R
The websites listed below all provide information on how to get help in R.
* [Quick-R Help](http://www.statmethods.net/interface/help.html)
* ["How to ask for R help" blog post](http://blog.revolutionanalytics.com/2014/01/how-to-ask-for-r-help.html)
* [R-help mailing list](https://stat.ethz.ch/mailman/listinfo/r-help)
* [R Section of StackOverflow](http://stackoverflow.com/questions/tagged/r)
## RStudio
On the main RStudio website [https://www.rstudio.com/products/rstudio/](https://www.rstudio.com/products/rstudio/) there is a short overview video. But also check out:
* Feature overview [https://www.rstudio.com/products/rstudio/features/](https://www.rstudio.com/products/rstudio/features/)
* Online learning for R, Rmarkdown, RStudio and more [RStudio Education](https://education.rstudio.com/)
* Webinars [https://www.rstudio.com/resources/webinars/](https://www.rstudio.com/resources/webinars/)
* lots of helpful cheatsheets [https://www.rstudio.com/resources/cheatsheets/](https://www.rstudio.com/resources/cheatsheets/)
## Rmarkdown reports
* [RMarkdown](http://rmarkdown.rstudio.com/index.html)
* [Knitr examples](http://yihui.name/knitr/demo/showcase/)
* Karl Broman's website [Knitr in a Knutshell](http://kbroman.org/knitr_knutshell/) tutorial
## Github
* Set up your own account at Gtithub [https://github.com/](https://github.com/)
* Learn more at [https://guides.github.com/activities/hello-world/](https://guides.github.com/activities/hello-world/)
* Jenny Bryan has a fantastic online book _"Happy Git and Github for the useR"_ about using Git and Github with R and RStudio at [http://happygitwithr.com/](http://happygitwithr.com/) - I HIGHLY reccommend looking through this book.
## Git
* Learn about downloading and installing Git at [http://happygitwithr.com/install-git.html](http://happygitwithr.com/install-git.html)
* Git for Windows [https://git-for-windows.github.io/](https://git-for-windows.github.io/)
* Git for Mac - in addition to Jenny Bryan's instructions at [http://happygitwithr.com/install-git.html#mac-os](http://happygitwithr.com/install-git.html#mac-os), you can also check out [https://git-scm.com/downloads](https://git-scm.com/downloads)
* We will mainly use Git with the RStudio IDE to minimize the pain, but you can learn more about the Git commands at TryGit [https://try.github.io/](https://try.github.io/)