R-bloggers

Every developer must solve two difficult problems when creating a Shiny application (in fact, any application) from the ground up: software architecture and data design. In the world of clinical data analysis, however, much development has been aimed at providing a jump-start approach to creating R/Shiny applications that would ...

maestro 0.2.0 brings with it new features for scheduling pipelines on specific hours, days, or months. With a few new tags, we have so much more versatility for scheduling. If you haven’t heard of maestro, it’s a package that helps you sche...

What if you’re playing make-it-take-it? Summary Taking action Other considerations Appendix But you don’t play pickup basketball to infinity Finite geometric series Scoring system in pickup basketball TLDR: For full court pickup basketball you should play by 2s and 3s. Make-it-take-it by 1s and 2s is also fine. ...

Blog contributed by Ning Leng, People and Product Leader, Roche-Genentech and Joel Laxamana, Principal Data Scientist, Roche-Genentech The R Consortium is pleased to announce the successful completion of the Pilot... The post News from R Submissions Working Group – Pilot 3 Successfully Reviewed by FDA appeared first on R Consortium.

In our previous blog post, we introduced the concept of profiling for optimizing Shiny app performance. Today, we’ll take a deep dive into three powerful tools in this arsenal: reactlog, profvis and shiny.tictoc. Imagine your Shiny app – users are interacting seamlessly, data is processing swiftly, and visualizations update ...

Puzzles no. 524–528PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #524Today we get bunch of numbers with masked digits. Our task is to check if from those masked...

The pharmaverse is a collaborative project where leading pharmaceutical companies and passionate individuals come together to create helpful tools for clinical reporting. By using R programming and the open-source community, the pharmaverse makes it easier to gain insights and increase transparency in the pharma industry. In this post, let’s ...

The goal of cpp11eigen is to provide a novel approach to use the Eigen C++ library by using the header-only cpp11 R package and to simplify things for the end-user. Features Elemental dense matrices and vectors conversion from R to C++ and vic...

Text analysis of 2024 US Presidential convention speeches, by Jerry Tuttle       Can an actuary / mathematician / data analyst say anything objective and data-oriented about the 2024 US presidential campaign? &nbsp...

Deriving a nonparametric confidence interval for the mean using stratified sampling, the bootstrap, surrogates and density estimation

Hey guys, welcome back to my R-tips newsletter. As the R ecosystem continues to grow, staying updated with the most powerful and innovative packages can significantly enhance your data analysis workflow. Today I’m sharing a curated list of 25 R package...

This is re-posted from my newsletter, where I'll be posting from now on:https://blog.stephenturner.us/p/biorecap-r-package-for-summarizing-biorxiv-preprints-local-llm---TL;DRI wrote an R package that summarizes recent bioRxiv preprints using a locally ...

The post Add Footnote to ggplot2 appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Adding a footnote to a ggplot2 plot in R can enhance the information presented by providing additional context or source attribution. Add Footnote ...