What’s next?

RYouWithMe barely scratches the surface when it comes to the power of R for data wrangling, visualisation and analysis, but hopefully you now have the basics under your belt and can forge a learning journey for yourself.

Here are a few things that you might be interested in exploring next…

How to do statistical analysis in R

Now that you have wrangled and visualised your data, you probably want to do some stats. The statistics you need to do depend a lot on your data and research question, but Danielle Navarro’s Learning Statistics with R book is a great place to start. The research methods team in Psychology at University of Glasgow have made their awesome PsyTeachR resources open to anyone too.

How to use Quarto for reproducible reporting

RMarkdown is nice, but Quarto is where all the exciting developments are happening. Check out the quarto documentation and then explore blog posts by R users who have made the move to quarto.

How to use git and github for version control (and publishing your quarto docs)

Jenny Bryan’s Happy with with R site is the best resource for learning about git and github. R for the Rest of Us also has a great series of videos walking you through the process of working with version control.

How to write your own functions

R packages are great, but you will eventually get to the point that you want to write your own functions. The functions chapter in R for Data Science is a good place to start. I also like the resources in the STAT545 course by Jenny Bryan.

How to make nice tables in R

There are more and more great pacakges making tables. Here are a few favourites you might like to explore.