R for data science: a book

Enhancing {ggplot2} plots with statistical analysis 📊📣

A functional programming toolkit for R

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Write reusable, composable and modular R code

🎨 Visualisation toolbox for beautiful and publication-ready figures

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

Easily install and load the tidymodels packages

R programming tips for data cleaning, data visualisation, statistical modelling and machine learning

🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate

An R package for tidyverse-friendly statistical inference

Non-invasive pretty printing of R code

Glue strings to data in R. Small, fast, dependency free interpreted string literals.

Construct Complex Table with knitr::kable() + pipe.

Statistical Rethinking Course 2026

Call LLM APIs from R

Satellite image time series in R

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

Fixed-effects estimations

🔮 Easy access to model information for various model objects

Tidy methods for measuring model performance

Interactively annotate ggplots

R functions to perform and display Google Trends queries

Reproducible Data Science environments for R with Nix

R code for causal graph animations

A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…

Microeconomics/macroeconomics charts in ggplot2

Getting Started in R -- Tinyverse Edition

Produce PRISMA-2020 compliant flow diagrams