A technical tutorial on using R and the rvest package to scrape data from multiple web pages, including handling pagination.
A guide and flow chart for using the pull request helper functions (pr_*) in the usethis R package to streamline Git/GitHub workflows.
A statistical analysis of variance estimation for generalized linear models with crossed clustering, using old R code and sandwich estimators.
Explains the three rules of do-calculus in plain language and manually derives the backdoor adjustment formula for causal inference.
A technical guide on creating GitHub issues from reproducible examples (reprex) using shortcuts for R programming.
A data visualization project mapping the world's countries by the first letter of their names using R and ggplot2, presented as small multiples.
A tutorial on using R to diagnose biases in two-way fixed effects (TWFE) regression models when treatment timing varies, based on Pamela Jakiela's paper.
A tutorial using Euler/Venn diagrams to visualize and explain the R² statistic and variance in regression models.
A critique of publishing code as images in academic papers, highlighting errors and reproducibility issues in statistical computing examples.
Announces updates to the R survey package, including a major rewrite of svyquantile, performance improvements, and new features.
An R developer announces the revival of their blog to share technical knowledge and experiences from working on R Markdown and open source at RStudio.
A personal blog by an RStudio software engineer sharing findings, tips, and experiences with the R programming language and its ecosystem.
A technical analysis comparing traditional maps to hexmap visualizations for New Zealand housing affordability data using R and ggplot2.
A retrospective on the TidyTuesday data visualization project's three-year anniversary, highlighting community growth and the importance of accessibility in data viz.
A tutorial on creating interactive inline color preview boxes in R using htmltools and custom CSS.
A guide to creating and testing a custom R function for aligning first-row text in gt tables, including testthat integration.
A technical tutorial on using R and geospatial analysis to find areas with similar topography to a query region, focusing on spatial pattern matching.
Analyzes performance tradeoffs between SQL joins and CASE WHEN statements in R for data cleaning, focusing on speed and memory usage.
An introduction to pattern-based spatial analysis in R using the 'motif' package for analyzing categorical raster data like land cover maps.
Announcing the 2021 Ihaka Lectures featuring local experts on distributed computing, machine learning for child welfare, and applied math for COVID-19 response.
