R for data science: a book

Statistical Rethinking course winter 2022

Enhancing {ggplot2} plots with statistical analysis 📊📣

🔏 Opinionated, typographic-centric ggplot2 themes and theme components

🌌 The R easystats-project

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

🎨 Visualisation toolbox for beautiful and publication-ready figures

Set up commonly used 📦 components

Visualizations of distributions and uncertainty

Bayesian analysis + tidy data + geoms (R package)

📜 🎉 Automated reporting of objects in R

An implementation of the Language Server Protocol for R

sjPlot - Data Visualization for Statistics in Social Science

Explore correlations in R

👻 Utilities for analyzing Bayesian models and posterior distributions

📊 Computation and processing of models' parameters

🔗 Methods for Correlation Analysis

🔮 Easy access to model information for various model objects

Tufte Styles for R Markdown Documents

📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements

🐉 Compute and work with indices of effect size and standardized parameters

⚠️ ARCHIVED ⚠️ R client for the PLoS Journals API

Tidy data frames and expressions with statistical summaries 📜

📈 Estimate effects, contrasts and means based on statistical models

R based twitter client

One day course on causal inference, MPI-EVA 9 September 2021

Magic potions to clean and transform your data 🧙

Recreation of Cole Nussbaumer Knaflic's Storytelling with Data plots using R an ggplot2

Sentiment analysis and visualization of real-time tweets using R

Graph theory analysis of brain MRI data