Land isn’t unemployed—people are. Here’s how to use R, {ggplot2}, {sf}, and {patchwork} to create a histogram legend in a choropleth map to better see the distribution of values.
Natural Earth’s de facto on-the-ground policy conflicts with de jure boundaries. Use {sf} and R to relocate parts of country shapes.
Manipulate geographic data, change projections, get live data from a database, and make interactive plots with Observable JS
Download CPS demographic data from IPUMS and use R and {brms} to calculate differences between sample and national proportions with Bayesian ROPE-based inference
Use R to parse Apple Music XML files and create your own Spotify Wrapped-like stats
Learn how to use knitr::knit() in inline chunks to correctly render auto-generated R and markdown content in Quarto documents
knitr::knit()
Combine the best of RStudio and Visual Studio Code in Posit’s new Positron IDE
Measuring coastlines is hard and causes fractal paradoxes, but we can use R and {sf} to try!
Probability math is hard. Use brute force simulation to find the probability that a household has a cluster of birthdays.
Visually explore how {dplyr}’s more complex core functions work together to wrangle data
Explore why we care about the ATE, ATT, and ATU and figure out how to calculate them with observational data
Use Make and {plumber} to create your own API and show live data in Quarto with R and Observable JS
Use multibib and Quarto to create separate bibliographies for a document and an appendix
Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution
This is like basic stats stuff, but I can never remember how to do it—here’s how to use matrix multiplication to replicate the results of predict()
predict()
Learn how to use R, {brms}, {marginaleffects}, and {tidybayes} to analyze discrete choice conjoint data with fully specified hierarchical multilevel multinomial models
Fix overplotted points on maps by creating bins or filled desntiy gradients using R, {ggplot2}, and {sf}
Learn how to use R, {brms}, and {marginaleffects} to analyze conjoint data and find causal and descriptive quantities of interest, both frequentistly and Bayesianly
Learn how to use R to load and clean and play with all the location history data Google keeps about you and look at some neat plots and tables about our 5,000-mile summer road trip along the way
Use R to get geocoded location and routing data from OpenStreetMap and explore our family’s impending 5,000 mile road trip around the USA
Use R, Stan, and {brms} to calculate differences between categorical proportions in a principled Bayesian way
Explore Tolkien’s Middle Earth with R-based GIS tools, including {ggplot2} and {sf}
Use statistical simulation and a hidden table of Númenórean ages from Tolkien’s unpublished works to convert Aragorn’s Dúnedan years to actual human years
By default, pandoc doesn’t include full bibliographic references inline in documents, but with one tweak to a CSL file, you can create syllabus-like lists of citations with full references
Tips, tricks, and rationale for converting from a single big BibTeX file to a Zotero database
