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I’ve added a new function, qeNeuralTorch, to the qeML package, as an alternative to the package’s qeNeural. It is experimental as this point, but usable and I urge everyone to try it out. In this post, I will (a) state why I felt it desirable to add such ... Continue reading: Torch for R Now in the qeML Package http://dlvr.it/T2xfSh

This April 17-19, ShinyConf returns for its third edition of the Largest Virtual R Shiny Conference. This year, we’re thrilled to present a lineup of keynotes that not only set the tone for the conference but also promise to delve deep into the diverse applications and future of R ... Continue reading: Get Ready for ShinyConf 2024: Explore Keynotes & Secure Your Spot http://dlvr.it/T2xf8H

Introduction Data wrangling in R is like cooking: you have your ingredients (data), and you use tools (functions) to prepare them (clean, transform) for analysis (consumption!). One essential tool is adding an “index column” – a unique identifie... Continue reading: Level Up Your Data Wrangling: Adding Index Columns in R like a Pro! http://dlvr.it/T2xdrT

{gt} is an R package for displaying tables. Designed to bridge the gap between data analysis and publication-quality output, it is perfect for generating clinical tables ready for publication. {gt} introduces a comprehensive, intuitive syntax for table creation, allowing users to craft detailed, aesthetically pleasing tables. It divides table components ... Continue reading: Introduction to Clinical Tables with the {gt} Package http://dlvr.it/T2xdYZ

You can read the original post in its original format on Rtask website by ThinkR here: Tame your namespace with a dash of suggests We’ve all felt it, that little wave of shiver through our skin as we watch the check of our newest commit running, thinking “Where could ... Continue reading: Tame your namespace with a dash of suggests http://dlvr.it/T2rX7k

Yesterday, with Laurence Barry, we posted a blog post “Who benefits from data sharing?” explaining why data sharing, in insurance, could end mutualization. Actually, it can also be bad in the context of discrimination. Consider here the same dataset, with claim occurence, in a real insurance portfolio, library(InsurFair) library(... Continue reading: Discrimination by proxy (a real case study) http://dlvr.it/T2pg2D

The rOpenSci Champions Program starts this 2024 with a new cohort of Champions. We are pleased to introduce you to our Champions and their projects! Ezekiel Adebayo Ogundepo Ezekiel Adebayo Ogundepo - GBG Analytics Limited Hello, I’m Ezekiel... Continue reading: Introducing rOpenSci Champions – Cohort 2023-2024 http://dlvr.it/T2pfsD

Introduction Welcome, fellow R warriors! Today, we delve into the heart of vectorized operations with R’s “apply” family: apply(), lapply(), sapply(), and tapply(). These functions are your secret weapons for efficiency and elegance, so buckle u... Continue reading: Conquering R’s Apply Family: Your Guide to apply(), lapply(), sapply(), and tapply() http://dlvr.it/T2p3JB

The R Consortium recently hosted a webinar series tailored specifically for insurance and actuarial science professionals. This series, called the R/Insurance webinar series, led by experts Georgios Bakoloukas and Benedikt... The post Unlocking the Power of R for Insurance and Actuarial Science: Webinar Series Recap appeared first on R ... Continue reading: Unlocking the Power of R for Insurance and Actuarial Science: Webinar Series Recap http://dlvr.it/T2mrmF

Introduction In the world of data analysis and manipulation, working with dates is a common and crucial task. Whether you’re analyzing financial data, tracking trends over time, or forecasting future events, understanding how to generate date se... Continue reading: Mastering Date Sequences in R: A Comprehensive Guide http://dlvr.it/T2m6Wh

It is a little-known fact that methane is more dangerous than carbon dioxide when it comes to global warming; it would harm the atmosphere about 80 times more than CO2. In this article, we will take a look at this situation across regions. First, we examine the methane rates with a ... Continue reading: Understanding Methane Emissions Through Heat Map and Comparison of Many Models http://dlvr.it/T2l5B1