resources

Resources

In the course we reference different tutorials and resources for continued learning. This is a page of those resources.

Answers to questions

We have a page where we collecting responses to questions asked in class or via pink sticky notes.

• Ongoing answers document

Cheatsheets

• Unix command line cheat sheet
• Data transformation with dplyr
• Data visualization with ggplot
• R color cheatsheet

More R

• Data Carpentry R Ecology lessons
• R Cookbook - The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data. Most of the code in these pages can be copied and pasted into the R command window if you want to see them in action.
• R for Data Science book by Hadley Wickham & Garrett Grolemund - "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible."
• Jenny Bryan's Stat 545 course: Data wrangling, exploration, and analysis with R

Data visualization in R

• Color in R from Stat 545 - Section on color in R from Jenny Bryan's 545 class
• Awesome book on data visualization- Fundamentals of Data Visualization, A guide to making visualizations that accurately reflect the data, tell a story, and look professional.
• Specifically on using ggplot and visualization
• R Cookbook for graphs

Working with Spatial Data in R (Making Maps)

• Mapping in R
• Geographic Data Analysis in R by Lovelace et al
• Using Census Data in R with tidycensus package
• USGS Water Data in R
• An amazing package for working with spatial data in R sf

Data!

• Respect your data