Learning Modules

• 1. Getting Started

  • Let’s get started with R!

  • Types of Objects (vectors, strings, matrices, dataframes, lists)

  • Directories, Pathnames, and RStudio Projects

  • Working with Data

  • Setting up GitHub for your independent projects

• Plotting in R:

  • Basics of Plots

  • Intro to ggplot2

• Wrangling data in R:

  • Data Wrangling with dplyr

  • Parsing Dates and Text

• Stats in R:

  • Linear Models in R (including ANOVA, GLM)

• Functions, Sampling, and Batch Processing

  • Custom Functions (and if-else statements)

  • Apply Fuctions and Loops

  • Randomizations and Sampling From Distributions

  • Batch Processing (Example using Flack et al. 2014)

• Mini-modules (in progress):

  • Reshaping data with pivot functions

  • Basic map making from shapefiles

• Reports

  • Generating reports with RMarkdown

• Extras

  • What now? More resources for continuing to learn R

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Worked Examples:

These are lessons that use real or simulated data to demonstrate skills that are covered in the learning modules above.

• Worked Example: Simulating Population Growth

• Worked Example: Wrangling World Bank Data

• Worked Example: Data wrangling with coot chick color data

• Worked Example: Plotting the change of butterfly size under climate change

• Worked Example: Plots and stats on effect of anthropogenic noise on crab physiology