R-bloggers

In a previous blog post I discussed how we can compute rank dependent utility in R. Though this function was quite exciting for myself as computing rank dependent utilty by hand is quite labor intensive, I saw the function as limiting in the sense that I was suppressing all the ...

Together with Andreas Küpfer I spent the last months writing and thinking about how to best explain BERT (using huggingface), apply it to a typical social science problem, and show the functionality of explainable AI. When working with large language m...

I’ve recently been playing around with classification models, specifically on data sets with a skewed class distribution. In imbalanced classification problems, one class occurs infrequently. The minority class is often the class of interest (think fraudulent transaction, positive disease diagnosis, or intruder detection). Sometimes these applications are framed as ...

Here’s a short post on why one should consider developing a segmented model when building credit risk scorecards to help optimize approval rates. While segmentation offers a variety of benefits, this post aims to offer a different perspective. I ...

I won’t wax long and poetic here since I’ve already posted the experiment that has all the details. TL;DR: there are still only ~90-ish 📦 in the WebR WASM “CRAN”, but more are absolutely on the way, including the capability to build your own CRAN and dev packages ...

Is your R Shiny app slow, but you doubt Shiny itself is the bottleneck? This is a likely scenario, especially if you’re given a slow database with no indexes or normalization. Data retrieval and database communication in general become an issue, and it has nothing to do with R ...

Introduction Time series analysis is a powerful tool for understanding and predicting patterns in data that vary over time. In this tutorial, we will use the AirPassengers dataset to create a bootstrapped timeseries model in R. The AirPassengers...

SatRdays London 2023 is fast approaching! Don’t miss out! Ticket sales close at midnight on 8th April! On 22nd April 2023 we will be hosting SatRdays London, an inclusive, low cost event, wh...

Donald Szlosek, the MaineR User Group organizer, recently highlighted the significant growth and impact of the R community in Maine to the R Consortium. Donald emphasizes the crucial role of... The post Uniting R Professionals Across Disciplines for Data-Driven Insights in Maine appeared first on R Consortium.

Inspired by conversations on the NHS-R Slack where code answers are lost over time (it’s not a paid account), and