isabellaghement.bsky.social
isabellaghement.bsky.social
@isabellaghement.bsky.social
Reposted by isabellaghement.bsky.social
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...
Love for books Episode 1: Statistics
Tony and Bob are out, so I sneak off to my bookshelf to grab some cool books to share with everyone. Today, it's books on statistics (a word that if you say it enough, you can no longer say - as I discovered). It's a rapid tour of five books (in five minutes) and why they are interesting. How to L
www.youtube.com
July 5, 2025 at 11:04 AM
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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
Definitely an issue I sometimes spot in psych as well! If you want to control for higher-level characteristics, you’ll need a fixed effects model — or a multilevel model with tweaks www.statmodel.com/download/Ham...
July 3, 2025 at 10:55 AM
Reposted by isabellaghement.bsky.social
Randomly obsessed with simultaneous (uniform) inference. Feel free to ask about it. A mini thread on this follows. 🧵

Recommended reading:

#statssky #econsky #episky
Simultaneous confidence bands: Theory, implementation, and an application to SVARs
Simultaneous confidence bands are versatile tools for visualizing estimation uncertainty for parameter vectors, such as impulse response functions. In linear models, it is known that that the sup-t c...
doi.org
July 3, 2025 at 9:20 PM
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.

🫣
June 29, 2025 at 7:46 PM
Reposted by isabellaghement.bsky.social
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
June 9, 2025 at 2:46 PM
Reposted by isabellaghement.bsky.social
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...
Graphical displays and related statistical measures of health disparities between groups in complex sample surveys
Abstract. Different methods for describing health disparities in the distributions of continuous measured health-related variables among groups provide mor
academic.oup.com
June 5, 2025 at 7:12 PM
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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)
June 3, 2025 at 2:02 PM
Reposted by isabellaghement.bsky.social
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!
June 5, 2025 at 2:51 AM
Reposted by isabellaghement.bsky.social
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
June 5, 2025 at 1:57 AM
Reposted by isabellaghement.bsky.social
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
June 5, 2025 at 2:38 AM
Reposted by isabellaghement.bsky.social
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...
GitHub - mcanouil/awesome-quarto: A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
A curated list of Quarto talks, tools, examples & articles! Contributions welcome! - mcanouil/awesome-quarto
github.com
June 1, 2025 at 9:15 PM
Reposted by isabellaghement.bsky.social
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.
ggeasy package
How to change your ggplot legend, title, and axis labels easily.
youtu.be
June 1, 2025 at 9:59 PM
Reposted by isabellaghement.bsky.social
Ecologists’ endless quest for automatic inference
statmodeling.stat.columbia.edu/2025/05/28/e...
Ecologists’ endless quest for automatic inference | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
May 28, 2025 at 6:32 PM
Reposted by isabellaghement.bsky.social
Neat looking paper: "Are Statistical Methods Obsolete in the Era of Deep Learning?" The answer seems to be "no," at least in the case where there's a mathematical structure to the model.

arxiv.org/abs/2505.21723
May 29, 2025 at 2:05 AM
Reposted by isabellaghement.bsky.social
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...
May 26, 2025 at 8:58 PM
Reposted by isabellaghement.bsky.social
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
May 27, 2025 at 1:01 AM
Reposted by isabellaghement.bsky.social
🆕 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
May 27, 2025 at 6:48 AM
Reposted by isabellaghement.bsky.social
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/
jamovi desktop - jamovi
www.jamovi.org
May 26, 2025 at 3:26 AM
Reposted by isabellaghement.bsky.social
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?
ChatGPT isn’t very good with R, but Claude certainly is. Yes, there’s more python code on the internet but that doesn’t imply there’s not enough R code for training.
May 27, 2025 at 8:38 AM
Reposted by isabellaghement.bsky.social
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
May 27, 2025 at 10:52 AM
Reposted by isabellaghement.bsky.social
This is such a great resource. arelbundock.com/posts/dt_tb_... #rstats
data.table vs. base vs. dplyr – Vincent Arel-Bundock
arelbundock.com
May 27, 2025 at 12:58 PM
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We had the R User Group Singapore (RUGS) in-person meetup last week. Links to presentations can be found in the comments

👩‍💻 #rstats 👨‍👩‍👦‍👦 #rcommunity
May 26, 2025 at 1:42 PM
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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.
May 26, 2025 at 12:39 PM
Reposted by isabellaghement.bsky.social
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:
May 25, 2025 at 9:55 PM
Reposted by isabellaghement.bsky.social
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...
May 25, 2025 at 2:56 PM