Who's reading #books on #statistics or #DataAnalysis right now? Here are 5 recommendations from me, but I'd love to hear what you're reading on this subject because my to-be-read pile can easily take another 10 kgs of books! www.youtube.com/watc...

Wading through this literature can be mind-boggling 🥴 but clearly would help my thinking around cluster-randomized trials and their analysis. Can anyone recommend a multilevel modelling course that would cover this material well? #rstats #statistics #statssky

Randomly obsessed with simultaneous (uniform) inference. Feel free to ask about it. A mini thread on this follows. 🧵 Recommended reading: #statssky #econsky #episky

Some sad personal news to share: About a month ago, I was diagnosed with a rare, aggressive abdominal cancer. The cancer was discovered too late to treat so I am currently in palliative care, waiting for a hospice bed to open up. I am looking at a few months to live with a bit of luck. 🫣

Feedback requested for this thing I'm working on Stats and science nerds especially, but open to all This is supposed to illustrate, in one place, one of the most poorly understood concepts in poll data (and one important thing experts get wrong) Thoughts? #stats #science

Our latest paper is now published in @jrssa.bsky.social. We constructed new ways to describe disparity between groups in survey-weighted data. Software to use these methods are now available in the glorenz R-package. #statsky #datascience #dataliteracy #academicsky academic.oup.com/jrsssa/advan...

Any recommended reading material out there regarding sample size power justification for g-computation? #stats (I assume it's 100% simulation based? Google won't believe me that I'm *not* talking about G*Power)

Solving problems in this way (doing the work!) helps you recognize patterns in solutions, connect ideas, etc. I can't imagine wanting to give that up!

Want to automate workflows in R? Join @meganholtorf.bsky.social at Cascadia R to explore GitHub Actions, a tool for: ✅ Fetch events ✅ Send emails ✅ Run it all while you sleep! Plus, learn to ditch manual tasks for email alerts, reports, and more! 📅 June 21 🔗 cascadiarconf.org #RStats

AI skepticism aside, the fundamental reason why I don't use LLMs to code is because I really like coding. The conceptualisation, the implementation, the debugging and optimisation, all of it. Why would I *choose* to outsource something I enjoy doing? #rstats #databs

You saw or you made something related to #QuartoPub #Quarto either with #ObservableJS, #RStats, #Python or #JuliaLang? You want it to be seen/shared? Please submit a suggestion issue to #AwesomeQuarto PS: if you like this list, star it and share it 😉 github.com/mcanouil/awe...

Time in #rstats ggplot is 5% data visualization and 95% googling and wrestling with `theme()` arguments. If you find yourself googling repeatedly but not really remembering from plot to plot how to tweak legends, titles, and axes, check out `ggeasy` by Jonathan Carroll.

Ecologists’ endless quest for automatic inference statmodeling.stat.columbia.edu/2025/05/28/e...

#statsky #mlsky #blueskai

Many people have been saying that percentage change scales should be logorithmic. I think it's an excellent opportunity to use #ggplot2 dual axis capabilities to add a clarifying "times/fractional axis" to make the relationship clearer #rstats gist.github.com/boundlesstor...

One of my pet peeves with dplyr verbs in R is filter(). It should remove the rows which meet the condition(s). What is the most readable way to remove rows which meet a joint condition? e.g., remove rows where col_a == "x" & col_b > y? #rstats

🆕 Introducing check_group_variation() in the {performance} #Rstats package! 🎉 This function makes it easy to checks if variables vary within or between levels of grouping variables. Perfect for understanding and designing mixed models 🚀 easystats.github.io/performance/... #stats #easystats

Learning #rstats #R can be a daunting task for beginners. Below are a few extra user-friendly #GUI #free #stats apps for those who don't want to be bothered with #syntax. 1) Jamovi www.jamovi.org/download.html 2) JASP jasp-stats.org/download/ 3) Orange orangedatamining.com/download/

I agree with Hadley — I think Claude is better with R than ChatGPT in general. I haven’t spent enough time with Gemini 2.5 to judge. What do you think, #rstats? What’s your preferred LLM for R code?

For this week's #TidyTuesday, we're looking at Dungeons and Dragons monsters! 📊 Obviously had to make a small multiple alignment chart 🔍 Magnified version to show labels ❓ Radar charts: the chaotic evil of chart types alignment? #RStats #DataViz #ggplot2

This is such a great resource. arelbundock.com/posts/dt_tb_... #rstats

We had the R User Group Singapore (RUGS) in-person meetup last week. Links to presentations can be found in the comments 👩‍💻 #rstats 👨‍👩‍👦‍👦 #rcommunity

Thinking Outside The Grid - A “bare bones” intro to Rtistry concepts in R using ggplot. by Megan Harris #RStats https://bigbookofr.com/chapters/art.html#thinking-outside-the-grid---a-“bare-bones”-intro-to-rtistry-concepts-in-r-using-ggplot.

While R is far from “dead” I do think we in the #rstats community need to consider this chart from @jscarto. R has seen remarkable growth over the past decade, but has declined since 2022. Why is this the case? Three notable things happened in 2022:

How integration helps us see data spread! Variance is found by integrating how far values are from the average. Standard deviation is the square root! Calculus is cool for this. #probability #statistics #math true-north-explorers.ca/further-appl...

Can anybody recommend good learning material for the use of DAGs in time series analysis? i'm interested in thoughtful takes on e.g. whether time should be a node or an index of several nodes, how to represent estimates of temporal differences in a clear way etc. #statssky

TaxSEA (Taxon Set Enrichment Analysis): an R package for rapid interpretation of differential abundance analysis output www.biorxiv.org/content/10.1... 🧬🖥️🧪 #Rstats

@yabellini.bsky.social is a pillar of many R communities so we are thrilled she will be sharing her wisdom with us for her keynote. Yanina is a Professor at Universidad Austral, Buenos Aires, rOpenSci Community Manager, and R-Ladies Project Lead. user2025.r-project.org/register #RStats #useR2025

🚀 Want to use LLMs in R? Join Yan Liu at Cascadia R Conf to explore {ellmer}—a powerful package for: Image-to-text, Text classification, Summarization, and more! Plus tips on prompt design, ethics, and local vs. cloud models. 📅 June 21, 2025 🔗 cascadiarconf.org #rstats #LLM #DataScience #AI

Thrilled to share that my book Cultural Data Science – An Introduction to R is finally out! A journey through digital methods, visual culture & data analysis—made for everyone exploring the intersection of humanities and code. #digitalhumanities #culturaldata #RStats #openscience […]

I've been spending some time working out the Stan code underlying simple brms models, and I think I'm going to write a few #rstats blogs walking out the topic. Who'd be interested in peer reviewing the posts? Basic fluency with brms and rstan would be required.

I just published a new #Rstats notebook to celebrate the release of {marginaleffects} 📦 0.26.0: Survival Analysis in R Please send me feedback, and don't forget to update the pkg for important bug fixes. Thanks to Robin Denz for his amazing work on this! marginaleffects.com/bonus/surviv...

If you don't have time to read my blog post from last week, this meme summarizes it pretty well. #rstats #polisky #econsky

I wrote {mapgl} to bring native JavaScript-level map performance to #rstats users in Shiny. The `set_filter()` function is a great example.

The full In-person program is out! The conference features three days of keynotes, tutorials, and talks to help you deepen your knowledge. Schedule user2025.r-project.org/program/in-p... Get tickets user2025.r-project.org/register #useR #RStats

📊 Today in R: GitHub Codespaces for Quarto workshops, spuriouscorrelations package, and multi-rate bounded evolution in phytools. #rstats #datascience blaze.email/Data-Scienti...

Streamline your workshops with GitHub Codespaces & Quarto (@posit.co) ! Skip setup headaches and dive into live, interactive sessions that make teaching a breeze. Discover how in our latest guide. quarto.org/docs/blog/po... #GitHubCodespaces #Quarto #Python #JuliaLang #RStats #Workshop

This is a great place to be able to meet fellow #rstats folks and learn some cool stuff. Thrilled we can offer these scholarships again this year. If you are unable to afford the conference tickets, please consider filling this out!

Instantaneous is an awful word for "at a point"

@cameronpat.bsky.social Are you familiar with “zipper plots” (aka zip plots) for presenting simulation results? I thought they might come in handy for you. Tim Morris has a great article explaining how to interpret such plots (albeit with Stata code). tpmorris.substack.com/p/how-to-rea...

New blog post www.datapedagogy.com/posts/2025-0...

You can’t learn #rstats just by reading books or watching videos of other people writing R code. You will learn faster if you find some data that you are curious about and use your new coding skills to answer a question about it. How to find fun data to play with....

Need-based scholarships now open for CascadiaR 2025! 💸 If cost is a barrier to attending (in Portland or remotely), we’ve got you. Scholarships cover the conference ticket for June 21. 🗓️ Apply by May 31 📬 Decisions June 1 🔗 forms.gle/U4DHy3aU2qrq... #RStats #DataScience

Scientists should not *by themselves* evaluate statements of the form 'There is enough evidence to undertake policy x'. Arnon Levy (section 4 of this article) aptly calls this sort of demand 'a dramatic burden'. Yet this is the ambition of the consensus study on children and digital devices #philsci

#stats question: If I have a general(ised) linear mixed model with 2 random factors: Y~ X1*X2...+ 1|random1 + 1|random2 And the ICC for a random factor is 0, should I remove it to simplify the model, or keep it as there was theoretical reason to include it? #phdlife #phdchat #phdvoice

This was an expertly beautiful post on multivariate normal sampling in R! An hour and a half very well spent! Highly recommend! #rstats #statsky

#StatsSky #statsmeme Always make your influence plots! This actually happened to me with a dataset I thought I knew well.

Good mini thread for the #statsky feed

re-upping this because I just overheard a fellow statistician say: "Multicollinearity is not really the problem that people make it out to be. I have a really nice paper on this I can send you which a colleague showed me a while ago." (who was the colleague? pretty sure it was me.)

In case you missed it, we recently updated some of our packages, including many new features (again) in the #rstats #easystats {modelbased} package: easystats.github.io/modelbased/n... The last weeks we were working a lot on improving support and performance for Bayesian models and especially