learn_stats

Materials for 4-week Introduction to R and the tidyverse M.A.-level course taught at the University of Freiburg ("Practical Foundations of Linguistic Research") in January/February 2021.

1. Intro to R

• R scripts and R-Markdowns in R-Studio
• Variables and data types
• Packages
• Reading and writing data
• Exploratory Data Analysis basics
• Descriptive statistics
• Factors

2. Welcome to the Tidyverse

• Tibbles
• Pipes (%>%)
• Selecting and removing columns with select()
• Renaming columns with rename()
• Changing column order with reorder()
• Adding columns and changing column values with mutate()
• Using conditional logic on rows with filter()
• Creating summary tables with groupby() and summarize()
• Creating new columns using conditional logic with mutate() and ifelse()

3. Exploratory Data Analysis (EDA)

• Review of filter(), groupby() and summarize() & mutate() and ifelse()
• Helper functions for select()
• Helper functions for filter()
• Warnings, errors, and documentation
• Chaining commands ("thinking tidyverse")

4. Visualization with ggplot2

• The grammar of graphics
• Basic structure of a ggplot
• Charts by variable type, incl. bar charts, histograms, scatterplots (w/ trendlines), line graphs, boxplots
• Adding more variables with fill and color
• Adding labels
• Basics of adapting themes
• Code variations, i.e. placement of aes()
• Piping into a ggplot
• Saving ggplots to disk