Machine Learning in R
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Updated
Aug 12, 2024 - R
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
Machine Learning in R
🌌 The R easystats-project
Presentation-Ready Data Summary and Analytic Result Tables
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
🎨 Visualisation toolbox for beautiful and publication-ready figures
R usage tips for data cleaning, data visualisation, statistical modelling and machine learning
Exercises (incl. analyses) with R language (math+statistics)
sjPlot - Data Visualization for Statistics in Social Science
JVM-based interpreter for the R language for the statistical analysis.
R package of data and code behind the stories and interactives at FiveThirtyEight
My work on Analytics and Research in Data Science
An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
Data Analysis with Bootstrap Estimation in R
A gallery of animations in statistics and utilities to create animations
Umbrella package of the 'spatstat' family................
Graph theory analysis of brain MRI data
🎓 Tidy tools for academics
A spellchecker for statistics
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.