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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