7  now what

You have made your way through all of Dani’s modules but probably still feel like you don’t know enough. Here are some of my favourite R learning resources.

8

9 Data skills

9.1 Websites

9.1.1 The R-Studio Education site

Alison Hill and her team at RStudio have pulled together the best resources for beginners at the RStudio Education site. Cute art by Desiree de Leon make the site a joy to explore.

9.1.2 Teacup Giraffes

If you are looking for a gentle introduction to R and statistics and like a bit of cute, the statistics and teacup giraffe modules by Desiree de Leon and Hasse Walum are for you.

9.2 Books

9.2.1 R for Data Science book

If books are more your scene, the free online book by Hadley Wickham great. Its definitely worth checking out this tidyverse bible.

9.3 Videos

9.3.1 R-Ladies Sydney #RYouWithMe

The #RYouWithMe course by R-Ladies Sydney is a series of online modules that walk you through getting data into R, cleaning it up a bit, visualising it, and reporting using RMarkdown. Lots of screencasts and practice exercises using enterococci data collected from Sydney beaches.

10 Statistics

10.1 Books

10.1.1 Learning Statistics with R

If you are keen to go beyond wrangling and visualising and to get some analysis done in R, Dani’s book is a great place to start. It is genuinely fun to read (uncommon for a stats book) and covers basic statistical analysis. Also free and available online.

10.2 Videos

10.2.1 Statistics of DOOM

If you like to watch youtube and learn stats, rather than read and learn stats, try Dr Erin Buchanan’s Statistics of DOOM youtube channel and associated website. She is an A/Prof at Missouri State and teaches tons of stats courses and gives them all away.

10.2.2 Kelly Bodwin

Kelly Bodwin also teaches intro stats in R at CalStatePoly. Her youtube videos are also excellent.

11 Practice

11.1 PsiChi challenge

PsiChi, which is the US Hons psychology society, has a monthly R challenge on their OSF page. They use open data and set a few common data wrangling/visualisation/analysis tasks for you to complete. I’ve used the challenge in my lab meeting and have pulled some code templates into this RStudio cloud project

11.2 TidyTuesday

Each Tuesday Thomas Mock releases a dataset on the Tidy Tuesday github, people all over the world plot the data to show something interesting and then post their plot to twitter using the hashtag #tidytuesday. If watching an expert is your kind of fun, check out David Robinson’s youtube channel. People have even timestamped his videos so you can find him demo almost anything.