R bloggers

The “curse of the bye” revisited

July 10, 2023 | nsaunders

A while ago we looked at Geelong and the curse of the bye. And since the AFL media have outdone themselves this year with “curse of the bye” articles: see for example here, here, here and here, I decided to revisit the topic in more depth. If you like that ...
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Unveiling a New Era in Molecular Visualization: Introducing shiny.molstar for Large Molecular Structures Visualization in R

July 9, 2023 | Ismael Rodriguez

The Importance of Molecular Visualization and Analysis in Drug Discovery Drug discovery is a process that allows scientists to identify novel drug candidates that could eventually be approved for the treatment of a disease. There is an interesting relationship between drug discovery and the visualization of large molecular structures, such ...
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Exploring Data Visualization with Tableau

July 9, 2023 | John Doe

Exploring Data Visualization with Tableau Data visualization is an essential component of data science. It allows us to present complex information in a visually appealing and easily understandable manner. In this blog post, we will explore the ... [Read more...]

New R Package For HTTP Headers Hashing

July 9, 2023 | hrbrmstr

HTTP Headers Hashing (HHHash) is a technique developed by Alexandre Dulaunoy to generate a fingerprint of an HTTP server based on the headers it returns. It employs one-way hashing to generate a hash value from the list of header keys returned by the server. The HHHash value is calculated by ... [Read more...]

midfieldr v1.0.1

July 8, 2023 | Richard Layton

Summary A qualitative overview of the midfieldr package and its application following its initial CRAN release. midfieldr provides tools and recommended methods for working with individual undergraduate student-level records (registrar’s ...
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Illustration of Graphical Gaussian Process models to analyze highly multivariate spatial data

July 6, 2023 | YoungStatS

Introduction Abundant multivariate spatial data from the natural and environmental sciences demands research on the joint distribution of multiple spatially dependent variables (Wackernagel (2013), Cressie and Wikle (2011), Banerjee and Gelfand (2014)). Here, our goal is to estimate associations over spatial locations for each variable and those among the variables. In this document, ...
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Array Languages: R vs APL

July 6, 2023 | Jonathan Carroll

I’ve been learning at least one new programming language a month through Exercism which has been really fun and interesting. I frequently say that “every language you learn teaches you something about all the others you know” and with nearly a dozen under my belt so far I’m ...
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Using Spatial Data with R Shiny workshop

July 6, 2023 | Dariia Mykhailyshyna

Join our workshop on Using Spatial Data with R Shiny, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Using Spatial Data with R Shiny Date: Thursday, August 3rd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Michael C. Rubin, is an Engineer, MIT Data ... [Read more...]

R Validation Hub Community Meeting – June Recap ↺

July 5, 2023 | R Consortium

The R Validation Hub recently had its community meeting after a brief hiatus. The team discussed announcements, common challenges, and brainstormed ideas for possible future projects through the R Validation... The post R Validation Hub Community Meeting – June Recap ↺ appeared first on R Consortium.
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