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.
A technical tutorial on using the R magick package to remove white backgrounds from NHL player headshots for data visualization.
A tutorial on using the R magick package and OCR to extract tabular data from images, specifically screenshots of data tables shared online.
A technical guide on using marginal structural models with GEE and multilevel models in R to handle confounding in panel data.
A personal review of 2020 focusing on the growth of the #TidyTuesday data visualization project in the R community, with code and analysis.
A guide to creating and applying custom themes in ggplot2 for R to enhance data visualizations for communication and storytelling.
A professor outlines plans for a new undergraduate data management course covering data models, reproducible workflows, and tools like R, SAS, and Python.
