R-bloggers

Writing scientific papers with quarto and AI assistants Below is my suggested workflow for using quarto to write scientific papers. I’m currently switching to doing as many projects as possible with quarto rather than word for a few reasons: Easie... [Read more...]

Background The SDTM Test Data for the Pharmaverse Family of Packages • pharmaversesdtm {pharmaversesdtm} and ADaM Test Data for the Pharmaverse Family of Packages • pharmaverseadam {pharmaverseadam} packages have been available for some t... [Read more...]

Calling =TECHTO_MLCLASSIFICATION for Machine Learning supervised CLASSIFICATION in Excel is just a matter of copying and pasting [Read more...]

Introduction A major update to ggplot2 (version 4.0.0) is expected around mid-to-late July 2025. It brings a significant internal change, replacing most of the S3 backend with the newer S7 object system. While this improves long-term maintainability and extensibility, it may break Bioconductor packages that depend on ggplot2, especially those that customise ... [Read more...]

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Introduction I previously posted about creating tutorial worksheets for 4 different Quarto engines (for R, Python, Stata, and Julia) using conditional content. However, that approach is a bit hacky and I wasn’t very happy with it. Thanks to a ... [Read more...]

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Calling =TECHTO_MLREGRESSION for Machine Learning supervised regression in Excel is just a matter of copying and pasting [Read more...]

Calling =TECHTO_RESERVING and =TECHTO_MLRESERVING for claims triangle reserving in Excel is just a matter of copying and pasting [Read more...]

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Hello, Phriends! In case you missed it, earlier this year, PHUSE and pharmaverse strengthened their initial relationship (established 2023) by bringing pharmaverse within the PHUSE community as the 9th active Working Group. At the moment, we a... [Read more...]

Learn how to use Behavior-Driven Development (BDD) in R to ensure your software meets user requirements through executable specifications. [Read more...]

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Join our workshop on latent: R package for the efficient estimation of large latent variable models, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: latent: R package for the efficient estimation of large latent variable models Date: Thursday, August 7th, 18:00 – 20:00 CET (Rome, ... [Read more...]

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Read it in: Español. We’re very excited to introduce the new rOpenSci Champions! This cohort will participate in the program and carry out their work in Spanish, allowing us to continue strengthening the open science and research software development ... [Read more...]

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