Materials for the Introduction to R for Data Analysis workshop administered at Montana State in the Fall of 2019, using RStudio Cloud project space (http://bit.ly/introduction-R)

• Uses: Data Carpentry's Data Analysis and Visualization in R for Ecologists (https://datacarpentry.org/R-ecology-lesson/)
  • Before we start, Intro to R, and Starting with data
• Addition of: matrices & list objects in R, packages in R, functions and function arguments, univariate and bivariate visualizations in base R
• Removal of: relational comparisons and subsetting vectors, renaming factor levels, formatting dates with lubridate

Repository includes:

• Master handout given to participants
• Cleaned-up participant R and Rmd files
• Solutions to "challenges" given to participants