Enhancing {ggplot2} plots with statistical analysis 📊📣
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Updated
Jul 23, 2024 - R
Enhancing {ggplot2} plots with statistical analysis 📊📣
Presentation-Ready Data Summary and Analytic Result Tables
🌌 The R easystats-project
A statistical framework that serves as a common interface to a large range of models
📊 Computation and processing of models' parameters
Effect size measures and significance tests
Basic statistical modelling examples.
Repositorio github del curso Estadística 2 por Matheo Muñoz Betancur
Model verification, validation, and error analysis
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Predicting Bike Rental Demand using Linear and Non-linear Regression Models
Dot-and-Whisker Plots of Regression Results
MachineShop: R package of models and tools for machine learning
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
My senior year project. Forecasting Turkey's real GDP growth using mixed data sampling regression model.
Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Regression model building and forecasting in R
#TidyTuesday to practice data analysis in R
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