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Training and Resources
Róisín Farrell edited this page May 10, 2018
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- https://software-carpentry.org/
- https://www.datacamp.com/
- https://www.coursera.org/learn/r-programming
- http://tryr.codeschool.com/
- https://www.udacity.com/course/data-analysis-with-r--ud651
- https://egret.psychol.cam.ac.uk/statistics/R/index.html
- https://www.r-bloggers.com/how-to-learn-r-2/
- https://www.rstudio.com/resources/cheatsheets/
- http://www.sthda.com/english/wiki/r-software
- https://github.com/AlastairKerr/Tutorials/blob/master/ggplot/ggplot.Rmd (notes from lecture)
- http://rprogramming.net/connect-to-database-in-r/ (how to use SQL in R)
- http://happygitwithr.com/ (using git with R)
- https://stackoverflow.com/questions/tagged/r
- http://firsttimeprogrammer.blogspot.co.uk/search/label/R
- https://t.co/rNQwo6Tu6C [Slack group]
- R for Data Science - Garrett Grolemund and Hadley Wickham
- Advanced R - Hadley Wickham
- R in a Nutshell - Joseph Adler
- R Graphics Cookbook – Winston Chang
- Introductory Statistics with R – Peter Dalgaard (amazon.co.uk)
- Good Enough Practices in Scientific Computing – Wilson, G. et al (2016)
- https://www.prstatistics.com/courses/
- https://sites.google.com/site/rssglasgow/events
- https://www.rss.org.uk/RSS/Training/Public_courses/RSS/pro_dev/RSS_training_courses_sub/test_training.aspx
- https://github.com/
- https://cran.r-project.org/
- https://about.gitlab.com/
- https://git-scm.com/ (requires download)