mastodontech.de ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Offen für alle (über 16) und bereitgestellt von Markus'Blog

Serverstatistik:

1,5 Tsd.
aktive Profile

#rstats

106 Beiträge90 Beteiligte4 Beiträge heute

There are 96 packages in danger of being archived used by 222 packages.
There are 53 that aren't yet archived. The first package could be archived on 2025-06-30 but it could take 48 days till all are archived (if not fixed in time).
There are 1 packages in danger both directly and indirectly.
In total 306 affected packages are from CRAN and 12 from Bioconductor.
Of all them, 1 affected by 3, 5 affected by 2 package's deadlines.

Support the maintainers of the #rstats packages you depend!

The first major version of {mapsf} has arrived on CRAN!

mapsf is a thematic mapping R package. Its goal is to be simple and lightweight while offering all the necessary features to create beautiful statistical maps.

This release includes a revamped theming system, an updated cheat sheet and improved PNG and SVG exports and solves some long-lasting display bugs.

More details in this blog post: rcarto.github.io/posts/mapsf_v

New website: riatelab.github.io/mapsf

Antwortete im Thread

Also, {zap} ALP double compression can fallback to a simpler technique which works well for simple sequences

e.g. N = 10k; as.double(seq(N) * 2)

This compresses to just 54 bytes!

The issue is finding a good heuristic which chooses a transformation based upon the characteristics of the data. Definitely an area to be explored!

@yume #RStats

Open Source Software Adoption in Japan's Pharma Industry: Key Findings from the 2024 JPMA R Usage Survey

r-consortium.org/webinars/open

Join us for a special webinar hosted by R consortium and the Japan Pharmaceutical Manufacturers Association (JPMA) to explore the results of the "2024 OSS Usage Status Questionnaire Report." How #pharma in Japan adopting open-source software — particularly R — and how trends have evolved since our last survey in 2022.

This is #python and #rstats comparison is quite relevant.

Just that... it might not be relevant in the way that you first assume. Even though they have essentially similar functionality in #datascience contexts, they offer complementary perspectives when designing a solution.

Think, "What would be the consequences of writing it this way?"

You may end up using only one of them on a single project but they each help to develop your analytical intuition