2017 R Bootcamp Schedule

Wednesday, August 16, 9:00 am - 12:30 pm, 127 Moore. | Videos on Databrary |.

• 09:00 am • Welcome and introductions
• 09:15 am • Installing R, installing packages, getting help | R | HTML slides | HTML notebook | PDF | docx | Markdown |
• 10:30 am • Break
• 10:45 am • Reading & summarizing data files, indexing arrays and data frames, data types, simple descriptive stats
• 12:30 pm • Lunch (on your own)
• 01:30 pm • Office hours: Help with R setup, troubleshooting, individual discussion of specific questions
• 03:00 pm • End

Homework: Please complete this anonymous (and light-hearted) survey.

Thursday, August 17, 9:00 am - 4:00 pm, 127 Moore. | Videos on Databrary |.

• 09:00 am • Welcome back
• 09:15 am • Data wrangling & pipelines
  • Hallquist data wrangling slides | PPTX |
  • tidyr and dplyr walkthrough | HTML | Rmd |
  • joins walkthrough | HTML | Rmd |
• 10:30 am • Break
• 10:45 am • Data visualization (primarily ggplot2)
  • Hallquist R and ggplot2 graphics overview | PPTX |
  • Simple graphics for our bootcamp survey | R |
  • Jenny Bryan ggplot2 tutorial | Download |
  • ggplot2 documentation
• 11:45 pm • Lunch (pizza & drinks thanks to SLEIC)
• 01:00 pm • Programming basics: loops, apply functions, conditional logic, functions
  • functional programming in R (Albohn) | HTML | Rmd |
  • worked example of scoring psychometric data (Hallquist) | R |
• 02:15 pm • Best practices in R programming: script management, comments, versioning, legible flow | Wickham style guide |
  • Hallquist best practices in R | PPTX |
  • Example of highly modularized code | See rs_initialize_pipeline.R |
• 02:45 pm • Break
• 03:00 pm • Transparent, open & reproducible science with R | HTML slides | HTML notebook | PDF | docx | Markdown |
  • Bootcamp Survey Analysis | HTML notebook | PDF | docx | Markdown |
  • papaja demo | Rmd | PDF |
• 04:30 pm • End
• 05:00 pm • Optional Happy Hour @ Whisker’s