Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Ryo Nakagawara, with help from the R Weekly...continue reading.
This is a guest post from Gina Reynolds with contributions from 3rd- and 4th-year West Point Math majors Morgan Brown and Madison McGovern. Gina works in data analytics and teaches...continue reading.
It’s easy to get down the basics of R and Shiny, but the learning curve becomes significantly steeper after a point. Reactive values? Reactive events? Reactive observers? Let’s face it...continue reading.
George Ostrouchov, one of R’s top parallel computing experts, will run a workshop on cluster parallel computing in R next week. BTW, even a multicore laptop is a “cluster,” so...continue reading.
We’re extremely pleased to announce the first release of censored on CRAN. The censored package is a parsnip extension package for survival models. You can install it from CRAN with:...continue reading.
Consider a shell game with three shells and a ball where only the location of the shell with the ball is exchanged with the location of an empty shell, randomly...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Batool Almarzouq, with help from the R Weekly...continue reading.
What a week! Thank you for a fantastic rstudio::conf(2022). It was so exciting to learn and share with you during these eventful four days. This post will share some of...continue reading.
Save Time With Binary R Packages on Linux Installing R packages from source can be a slow process. This is compounded by the challenge of making sure you have all...continue reading.
We’re downright exhilarated to announce the release of rsample 1.1.0. The rsample package makes it easy to create resamples for estimating distributions and assessing model performance. You can install it...continue reading.
As many readers of this blog know, I strongly believe that R learners should be taught base-R, not the tidyverse. Eventually the students may settle on using a mix of...continue reading.
The slider package provides support for flexible sliding window aggregation, and we can use these kinds of sliding windows to analyze rents over time.continue reading.
This tutorial will show you how to use Numpy meshgrid. It will explain what the meshgrid function does, explain the syntax, and show you clear examples to help develop your...continue reading.
Ever written a tutorial for R — or simply shared some R code with someone — and been told that your code doesn’t work on their machine? There’s now an...continue reading.
Where it all began Sometimes it takes just a passing comment to inspire a mountain of change. For this effort, it began with a discussion focused around addressing “confusing status...continue reading.
It was amazing to meet so many people at the RStudio Conference last week. If you’d like to keep the party going and are thinking of ways to keep in...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Kelly Bodwin, with help from the R Weekly...continue reading.
One hundred eighty-nine new packages made it to CRAN in June. Here are my “Top 40” selections in eleven categories: Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Statistics,...continue reading.
R Quarto is a next-gen version of R Markdown. The best thing is – it’s not limited to R programming language. It’s also available in Python, Julia, and Observable. In...continue reading.
Today we’re excited to announce Quarto, a new open-source scientific and technical publishing system. Quarto is the next generation of R Markdown, and has been re-built from the ground up...continue reading.
