News and information about the R programming language
- Expected goals has become one of the most important concepts in modern football analytics. Instead of judging a team only by goals scored, xG helps us estimate the quality of the chances created. In this tutorial, we will build a practical expected goals model in R using football data, feature … Continue reading: How to […]
- News from R package unifiedml, that offers a unified interface to R machine learning models Continue reading: One interface, (Almost) Every Classifier (and Regressor): unifiedml v0.3.0
- Great strides in artificial intelligence development during the last five years produced agents that are now commonplace at work and home. It is humbling to note that virtually all frontier large language models today trace back to a preprint introducing the transformer neural network architecture – a fifteen-page paper that profoundly … Continue reading: Edge […]
- 1 Introduction Differencing is one of the most common transformations in time series analysis. It is also one of the easiest transformations to misunderstand. In many ARIMA-style workflows, differencing is introduced almost mechanically: i… Continue reading: Differencing: A Transformation or a Trap?
- Read it in: Español. We are excited to introduce the new team of mentors for the rOpenSci 2026 Champions Program! This year we have eleven individuals committed to open science, bringing together a rich diversity of backgrounds and perspectives. The t… Continue reading: New Mentoring Team with Experienced Mentors and New Voices
- Introduction Differential Machine Learning (DML), as introduced in the recent arXiv paper (Differential Machine Learning for 0DTE Options with Stochastic Volatility and Jumps), extends supervised learning by incorporating not only function values but also their derivatives. In financial contexts, this often means sensitivities such as Greeks. However, when direct derivatives … Continue reading: Differential Machine […]
- I tend to write a lot of functions that create specific graphics implemented with ggplot2. Although I try to pick graphic parameters (e.g. colors, text size, etc.) that are reasonable, I will typically define all relevant aesthetics as param… Continue reading: Setting function parameters for debugging
- JAGS 5.0.0-beta is now available from SourceForge. The beta release is for two groups of people: Please send feedback via the JAGS forums or file a bug report The JAGS library The following packages are available: The rjags package In … Continue reading → Continue reading: JAGS 5.0.0-beta is available
- I’m getting more and more into data engineering these days and having used R for a long time, I’m seeing a lot of problems that look nail-shaped to my R-shaped hammer. The available tools to solve those problems exist for (presumably) very good reasons, so I wanted to … Continue reading: Comparing R’s {targets} and […]
- Have you ever looked at a freshly plotted scatter plot and immediately thought, “Ah, this is clearly a logarithmic curve with some heteroskedastic noise,” without running a single line of modeling code? How do you do that? You don’t perform gradient descent in your head. You use your intuition! … Continue reading: The Magic of […]
The 8 Best R Programming Books in 2022
New course aims to train next generation of data scientists
“Ogihara and Bonnell chose to use R because it is attuned to statistical analysis and, by incorporating an increasingly popular collection of tools in R called tidyverse, students can easily learn how to process, wrangle, transform, and model data on their own, too.”
See also:
How to do R-like data manipulations using Pandas?
R and Python play a crucial role in handling and manipulating the data. Many beginners find it difficult to shift from Python to R or vice-versa in such requirements. This will help the beginners to understand the differences and also help them switch in between.
Infoworld: R Language | News, how-tos, features, reviews, and videos
Quick R – Quick intro to the R programming language
The R Project for Statistical Computing
R Commander: A Basic-Statistics GUI for R
Heavy R Programming