RStudio is becoming Posit
Today we are very excited to announce that RStudio has a new name: Posit. This is a big change, and below we’ll talk about exactly why we are doing this...continue reading.
Today we are very excited to announce that RStudio has a new name: Posit. This is a big change, and below we’ll talk about exactly why we are doing this...continue reading.
There are many community projects out there that provide binary R packages for various distributions. You may know Michael Rutter’s legendary c2d4u.team/c2d4u4.0+ PPA, but this situation has been greatly improved...continue reading.
Object-Oriented Programming (OOP) is more than just a programming style; it’s a philosophy. R has offered various forms of OOP, starting with S3, then (among others) S4, reference classes, and...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 Ryo Nakagawara, with help from the R Weekly...continue reading.
The day you’ve been waiting for is here: rstudio::conf(2022) starts today! We hope you’re ready for four days, 16 workshops, four keynotes, and countless ways to learn and collaborate! With...continue reading.
My family entry into the “Dear Nightingale” analogue data creation challenge. Using puppy olympic competition data for our personal dataset and clay to make a 3D dataviz.continue reading.
I’ve tweeted this: Just changed like 100 grepl calls to stringi::stri_detect and my pipeline now runs 4 times faster #RStats — Bruno Rodrigues (@brodriguesco) July 20, 2022 much discussed ensued....continue reading.
While we hope to see you in person at rstudio::conf(2022), we want to include as many of you as possible, so we invite you to join us virtually! Live streaming:...continue reading.
We care about the impact our work has on the world around us. That’s why we want to ensure our work paves the way to a sustainable future. Using 🌍Data...continue reading.
This tutorial will show you how to use the geom_smooth function in R. It explains what geom_smooth does, explains the syntax, and shows step-by-step examples of how to use this...continue reading.
Beginning with the invitation-only 2016 Shiny Developer Conference, Shiny has played a prominent part in all RStudio conferences, and rstudio::conf(2022) is no exception. Two workshops and eighteen talks showcase Shiny’s...continue reading.
This post highlights some of the improvements in the latest RStudio IDE release 2022.07.0, code-named “Spotted Wakerobin”. To read about all of the new features and updates available in this...continue reading.
It’s crucial you address R Shiny accessibility early on. Why? Because you want to make sure your data products can be used by all users – inclusivity matters. In a...continue reading.
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. library(tidymodels) #> ── Attaching packages ────────────────────────────────────── tidymodels 1.0.0 ── #> ✔ broom 1.0….continue reading.
This offseason, we worked hard to update our FFA Projection and Lineup Optimizer apps. We are excited to provide the apps to our subscribers to test out and provide feedback.[…]...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.
A month or so ago, I found a graph showing a percentage of PCs having a given range of memory installed, between March 2000 and April 2020, on a TechTalk...continue reading.
The riddle of the week is about 10 goats sequentially moving to their room, which they have chosen at random and independently (among ten rooms), unless another goat already occupies...continue reading.
We are very excited to announce the release of lintr 3.0.0! lintr is maintained by Jim Hester and contributors, including three new package authors: Alexander Rosenstock, Kun Ren, and Michael...continue reading.
Gaussian Mixture Models (GMMs) and its special cases Latent Profile Analysis and k-Means are a popular and versatile tools for exploring heterogeneity in multivariate continuous data. However, they assume that...continue reading.