Data and Resources

This page contains links to the data we’re using in our workshop, and a sample of a few useful resources online and in print. This is by no means a comprehensive list, but hopefully a launching pad for useful website and books. All of these examples provide code in same shape or form.

Recording

A live recording of this training is available from this link.

Datasets

This is a list of the data sources used in this workshop. For live-coding, please refer to this link, which will update everytime we save a file. That means you can refresh the page to see whatever code we are typing, and download this file at anytime.

• Full Dataset as a zipped folder. Inside you’ll find these files:
  • Water quality data: currentdata.xlsx
  • Enterococcus data: enterodata.xlsx
• All R scripts used in the lessons as a zipped folder. Inside you’ll find these files:
  • rbasics.R
  • wq.R
  • pathogens.R
  • do.R

Resources

Saving figures from peptools

• Checkout this link for instructions on saving graphics from the peptools package.

R Lessons & Tutorials

• Software Carpentry: R for Reproducible Scientific Analysis
• Data Carpentry: Geospatial Workshop
• Data Carpentry: R for Data Analysis and Visualization of Ecological Data
• Data Carpentry: Data Organization in Spreadsheets
• RStudio Webinars, many topics
• R For Cats: Basic introduction site, with cats!
• Topical cheatsheets from RStudio, also viewed from the help menu
• Cheatsheet from CRAN of base R functions
• Totally awesome R-related artwork by Allison Horst
• Color reference PDF with text names, Color cheatsheet PDF from NCEAS

R eBooks/Courses

• Jenny Bryan’s Stat545.com
• Jenny Bryan’s WTF about R
• Garrett Grolemund and Hadley Wickham’s R For Data Science
• Chester Ismay and Albert Y. Kim’s Modern DiveR
• Julia Silge and David Robinson Text Mining with R
• Hadley Wikham’s Advanced R

Git/Github

• Jenny Bryan’s Happy Git and Github for the useR
• Coding Club Intro to Github