Learning R.

My best advice is to find a puzzle. Ideally, it’s a puzzle you are motivated to solve. Even better, find a puzzle that you are motivated to solve, and that you have a basic understanding of how to solve using another software (like excel or SPSS). Break that puzzle down into small pieces, and work on one piece at a time. Remember, google & stack overflow are your best. friends.

HELPFUL Resources:

• The website R for Data Science hosts an open-source (free!) edition of Garrett Grolemund &

  Hadley Wickham’s introductory textbook for R.

• Look at the cheatsheets on the RStudio website. The cheatsheets are infographics describing how to use functions from some of R’s best packages. I have these downloaded in a folder on my desktop. My favorite cheatsheets are those on Importing Data, Working with Strings, Data Transformation, Data Visualization, and R Markdown.

• R-Bloggers is another great website with tons of tutorials.

• Dr. Danielle Navarro has several incredible open-source teaching materials on her website: R for Psychological Science, Data Visualization in R, Data Science with R, and learning statistics with R.

• The website From data to Viz helps users select the best type of visualization for their data and contains a gallery of open-sourced examples coded in R.

• Check-out this tutorial on conducting reproducible research in R-Markdown