About this episode
This episode discusses the new logrittr package and its implications for dplyr pipelines, along with insights into random number generation in R.
How the new logrittr package gives you a peek behind the tidy pipelines of dplyr, and a fascinating glimpse into the universe of seeds going far beyond a favorite 80's song. Episode Links This week's curator: Jonathan Kitt - @jonathankitt.bsky.social (Bluesky) logrittr: A Verbose Pipe Operator for Logging dplyr Pipelines Generating universes within universes with a single seed Working Smarter in R: Tips, Tricks & Real-World Lessons Entire issue available at rweekly.org/2026-W18 Supplement Resources tidylog https://github.com/elbersb/tidylog/ logrittr documentation https://guillaumepressiat.github.io/logrittr/ Fine-grained control of RNG seeds in R https://blog.djnavarro.net/posts/2023-12-27_seedcatcher Supporting the show Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedback R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby , and then head over to the R-Weekly Highlights podcast entry on the index. A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz…
People in this episode
Host: Eric Nantz
Topics covered
- R programming
- data science
- tidyverse
- logging
- random number generation
- data visualization
Keywords
- logrittr
- dplyr
- R programming
- tidylog
- random number generation
- data science
- tidyverse
Mentioned in this episode
Organizations: logrittr, dplyr, R-Weekly Highlights, tidylog, Podcastindex.org, Alby, OCRemix
Books & works: Passing Breeze (Lounge Suite), OutRun, Remorse
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