Heavy R programming

News and information about the R programming language

  • My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R. Continue reading: My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R
  • I started working on a deliberately tiny alternative to Shiny Continue reading: Tabler Server A minimal framework to create web dashboards in R
  •       Regulators expect insurance companies, banks, and others not to discriminate by race, but businesses are not allowed to collect the race of their customers. One solution for testing discrimination in the aggregate … Continue reading: Testing racial predictions with BISG
  • Instacart logo Ben Knight from Instacart has published a great write-up on how they use pyfixest “in production” for measuring the effects of marketplace experiments. For an open source developer, there is of course nothing more rewarding th… Continue reading: Instacart is running fixed effect regressions with PyFixest!
  • You can read the original post in its original format on Rtask website by ThinkR here: {golem} 1.0.0 is here After years of powering Shiny applications in production, {golem} — our opinionated framework for building production-grade Shiny apps as R packages — has finally reached a symbolic milestone: version 1.0.0. This is more than … […]
  • I recently gave a talk, The value in teaching is not the content it’s the teacher My main point in this is: Your course materials should be out there in public for free online. To help support this, this blog post goes through the technical det… Continue reading: How to Put your Course Book Online
  • We are excited to introduce SummaryTables, a new module available in the jamovi library designed to provide an easy, flexible, and elegant way to create publication-ready analytical and summary tables. Powered by the gtsummary package in R, this module bridges the gap between running your analyses and publishing them. Instead … Continue reading: SummaryTables: Publication-Ready […]
  • A very short post today. During the global fuel crisis relating to the conflict in Iran, I have been monitoring this chart, every Thursday morning my time: It shows the amount of crude oil in the Cushing facility in Oklahoma and is one of the most t… Continue reading: Crude oil stocks at Cushing, Oklahoma […]
  • On R-Universe you can discover and learn everything there is to know about R packages. But did you know it does only provide a human-friendly website, but also programmatic access to all information through APIs! Thanks to those APIs you can list univ… Continue reading: An API for Everything There Is to Know About Packages
  • This post examines whether the Worldwide Governance Indicators' (WGI) rule of law measure provides a reasonable proxy for the World Justice Project's (WJP) Rule of Law Index, such as when analysis might benefit from the WGI's availability for more countries over a longer period. Results suggest the two measures broadly … Continue reading: Close Enough? […]

The 8 Best R Programming Books in 2022

New features in R 4.2.0

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