# Learning R Learning R can be intimidating, but it is a useful tool both generally and for opening up your research practices. Here are some resources members of the community have made or found to help you on that journey. 1. **Hadley Wickham's book on using [R for data science](http://r4ds.had.co.nz/).** This is a great introduction to how to manipulate and visualise data in R. But it's written for a more general audience, not just psychology. 2. **Dani Navarro's book [Learning Statistics with R](https://learningstatisticswithr.com/book/)**. This book is written for psych students learning and the focus is on how to do basic statistics in R. 3. **Nathaniel Phillip's book [R for Pirates](https://bookdown.org/ndphillips/YaRrr/)**. This a good resource for learning the basics of programming in R. 4. **Our Coding Club** an [Online Coding Club for R ](https://ourcodingclub.github.io/) Oriented towards ecologists predominantly, but a great friendly community with lots of tutorials. 4. **Mathew Ling's [Crash course in R for Psychs in 3 hours](https://osf.io/e8nfm/)** Targetted at people with an undergrad level of stats knowledge, are baked into another language and want to switch in a hurry. 5. **Johannes Karl's [Introduction to r](https://johanneskarl.netlify.com/post/r-intro/introduction-to-r/)** 6. **Melissa Gordon Wolf's [SPSS-to-R](https://www.melissagwolf.com/spss-to-r/) walkthroughs.** [Specifically directed](https://twitter.com/MelissaGWolf/status/1197515255502516224) at filling that gap on how SPSS maps to R. 6. **[Open stats lab](https://sites.trinity.edu/osl)** Reproduce results from published papers! (R exercises by Mathew Ling) 7. **R-Ladies Sydney's [excellent RYouWithMe series](https://rladiessydney.org/)** 8. **[Glasgow Psych's resources](https://gupsych.github.io/data_skills/index.html) by Lisa De Bruine and Dale Barr** 9. **Charles Gray's [Are you R curious workshop](https://www.youtube.com/watch?v=AmqxVDlfKQY)** 10. **Dani Navarro's other resource [R for Psychological Science An introductory resource](https://psyr.org/)** 11. **Sean Murphy's [A Psychologist's guide to R](https://github.com/seanchrismurphy/A-Psychologists-Guide-to-R)** 12. **Matt Crump's [Programming for Psychologists: Data Creation and Analysis](https://crumplab.github.io/programmingforpsych/)** 13. **[Stat545](http://stat545.com/help-general.html)** Stat545 is an amazing course run at UBC - this particular section talks about how to get “unstuck” with R, something we all need to learn at some point 14. **Nick Tierney's [curated list of R resources](https://www.njtierney.com/resources/)** 15. **[Bioconductor's Intro to R](http://bioconductor.org/help/course-materials/2016/BiocIntro-May/)** If you work in Biological sciences, this is more likely to be your style. 16. **[R for Journalists](https://learn.r-journalism.com/en/)** 17. **[Geocomputation with R](https://geocompr.robinlovelace.net/)** 18. **[Curran & Bauer's intro to _lavaan_](https://curranbauer.org/inform/#software)** 19. **[Sacha Eskamp's SEM course](http://sachaepskamp.com/SEM2019)** 20. [Modern Statistics for Modern Biology](http://web.stanford.edu/class/bios221/book/) ### Work smarter not harder! It's also good to find some local supports, like a group of co-learners at your place of work, or an [R-ladies chapter](https://rladies.org/). ### Other curated lists **Kelsey Moty's [R syllabus](https://t.co/IOEmp7KCP3)** **Amy Perfors'** [list of R, ggplot2, and tidyverse resources](https://psychologicalsciences.unimelb.edu.au/research/hubs/chdh/ccs/resources-and-readings) **[Mathew](https://twitter.com/lingtax)'s [list of Open Rstats textbooks](https://threadreaderapp.com/thread/1120536217215537153.html)** - See also [the thread it came from](https://twitter.com/lingtax/status/1120536217215537153) Another [book list](https://committedtotape.shinyapps.io/freeR/) #### Uncurated resources [This twitter thread](https://twitter.com/EngelhardtCR/status/1116743032492253185?s=09) contains a multitude of other resources, please check them out and let us know what you'd recommend. See also [this list](https://github.com/jl5000/r_ebooks)