This is a tidyverse tutorial that I have used in many contexts, originally for the data on the mind workshop at Berkeley in 2017.

The availability of data on the web has opened up many resources for cognitive scientists who know how to deal with "medium data" - big enough to crash excel but small enough to load into memory. R is a powerful tool for statistical data analysis and reproducible research, and the "tidverse" - an ecosystem of R packages for manipulating, analyzing, and visualizing data - provides many tools for manipulating this kind of data quickly and easily. In this tutorial, I'll walk through how to go from a database or tabular data file to an interactive plot with surprisingly little pain (and less code than you'd imagine). My focus will be on introducing a workflow that uses a wide variety of different tools and packages, including readr, dplyr, tidyr, and shiny. I'll assume basic familiarity with R and will use (but not spend too much time teaching) ggplot2. Featuring data from https://wordbank.stanford.edu

• Standard tutorial: tidyverse_tutorial.Rmd
• Short version of the tutorial (currently most up-to-date): tidyverse_tutorial_short.Rmd
  • with notes from CDS2019: tidyverse_tutorial_short_CDS.Rmd
• Exercises (for extra practice): tidyverse_exercises.Rmd