R-bloggers

The R Consortium had a conversation with Anietie Edem Udokang, who is the founder and organizer of the Offa R Users Group (ORUG). He discussed the emerging local R community... The post Offa R Users Group: Empowering Data-Driven Education in Nigeria appeared first on R Consortium.

#165–166PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #165Today we get table with data which we suppose to transform into shape of Excel Pivot Tables (aka Cross...

The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data. Conference workshops provide a way to learn and... The post R/Medicine Coming June 10-14, 2024 – Call for Abstracts Open – Keynotes Announced appeared first on R Consortium.

In the previous article, we learned about the first OOP system in R called S3. In this one, we are going to dive into the S4 OOP system. The S4 system is a more formal OOP system developed by Bell Labs and introduced into the S language in the late 1990...

Puzzles no. 409–413PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #409This puzzle is like splitting rock. Sometimes tables in Excel and other documents have merg...

Note This article is about the release of rirods 0.2.0 (see the documentation). iRODS C++ HTTP 0.2.0 is a requirement for this R package. As of November 2023 iRODS has released the iRODS C++ HTTP API, as a replacement of the old iRODS C++ R...

I guess it might have been obvious, but I was surprised that rowSums appeared much slower slower than directly doing the matrix operation. At first I assumed it was because it has some overhead in the form of input handling/casting … Continue reading →

ShinyConf 2024 is just around the corner (April 17-19), and it’s shaping up to be an event you don’t want to miss! Held annually, ShinyConf brings together the brightest minds in R/Shiny developers and data science to share insights, innovations, and best practices. Key Highlights This year’s ...

Introduction In the realm of machine learning, visualizing model predictions is essential for understanding the performance and behavior of our algorithms. When it comes to regression tasks, plotting predictions alongside actual values provides ...

During my stat courses, I never give my students any information about the Levene’s test (Levene and Howard, 1960), or other similar tests for homoscedasticity, unless I am specifically prompted to do so. It is not that I intend to underrate the tre...

This is a rather niche post, but the method can likely be adapted for other use cases. In the lab we have many different cell lines stored in liquid nitrogen. The arrangement is: Ideally, to retrieve the correct vial from the cell store requires a map. We have a FileMaker ...

We are happy to announce our 6th series of workshops, to take place in April-May 2024. Between April and May, we are proposing again two learning paths: R & R Shiny. Visit the current workshop page for all the details. We focus on bringing our ...

Launching the Starship: An Introduction to QuartoIn the cosmic expanse of data science tools, a new starship has been unveiled — Quarto. Crafted from the essence of RMarkdown, Quarto is engineered to explore further, integrating more seamlessly with the universe of languages and tools used in data science, and providing a ...