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Enhancing {ggplot2} plots with statistical analysis 📊📣
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
🎨 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
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
Construct Complex Table with knitr::kable() + pipe.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
🔮 Easy access to model information for various model objects
R functions to perform and display Google Trends queries
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
Interface between R and the OpenStreetMap-based routing service OSRM
Exploratory Web Apps for Analyzing Clinical Trial Data
A lightweight, no-dependency, but full-featured package for unit testing in R