Modules

Learning Modules

• 1. Let’s get started with R!

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

• *New Module: Workflow with RStudio Projects and GitHub

• 3. Importing and Navigating Data

• 4. Plotting in R:

  • 4.1 Basics of Plots

  • 4.2 Intro to ggplot2

• 5. Stats in R:

  • 5.1 Linear Models in R (including ANOVA, GLM)

• 6. Wrangling data in R:

  • 6.1. Data Wrangling with Tidyverse Packages

  • 6.2. Parsing Dates and Text

• 7. Custom Functions (and if-else statements)

• 8. Apply Fuctions and Loops

• 9. Randomizations and Sampling From Distributions

  • 9.2 Apply & Loops example: Population Growth Models

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

• 11. Generating reports with RMarkdown

• What now? More resources for continuing to learn R

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Worked Examples:

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