Nick Clark 💹

📢 Course alert!
Generalised Additive Models (GAMs) in R with @gsimpson.bsky.social
📅 8–11 Dec (Online)
Learn how to model complex relationships using GAMs, splines & more with mgcv and gratia.
Details & registration 👉 www.physalia-courses.org/courses-work...
#Rstats #DataScience #GAMs #Statistics

🚨 2 DAYS TO GO! 🚨

Cascadia R Conference kicks off this Friday in Portland!

Amazing talks, hands-on workshops, and a community that loves R as much as you do.

🗓️ June 20–21
📍 Portland, Oregon
🔗 cascadiarconf.org

Who’s ready?! #RStats #DataScience

3 days left until this workshop!
Register or sponsor a student by donating to support Ukraine!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats

I feel seen

Does anyone have an accessible guide for best practices in presenting DAGs and associated regression estimates in a paper?

This is for a student thesis project (and, frankly, for myself, as I have done it admittedly ad hoc, although no reviewers have so far complained.)

I can’t make it but this looks good!

VegVault logo

1/🧵Introducing VegVault🌿🔒🏛️
A global database linking paleo- & neo-vegetation data with functional traits & abiotic drivers!
🚀A powerful tool for researchers exploring biodiversity dynamics across time & space

🔗 Website: bit.ly/VegVault
#VegVault #Ecology #Paleoecology #Vegetation #FunctionalTraits

Why You Should Care About Functional Programming (Even in 2025) A History Lesson and Practical Introduction to Core Tenets of Functional Programming

New day, new blog. This week I talk about why Functional programming matters and how to adopt it.

#rstats #python

open.substack.com/pub/borkar/p...

If you are not personally interested in attending this workshop, you can also sponsor participation of a student!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats

Coming up soon (June 16-18)! ... calvin-regression-workshop-2025.netlify.app taught by excellent ecological statisticians (and great people) Stacy de Ruiter (Calvin College) and Leslie New (Ursinus College)

The U.S. National Science Foundation (NSF) has undertaken a review of its award portfolio. Each award was carefully and individually reviewed, and the agency has determined that termination of certain awards is necessary because they are not in alignment with current NSF priorities. Effective immediately, the following are terminated: NSF AWARD ID: 2120496 NSF is issuing this termination to protect the interests of the government pursuant to NSF Grant General Conditions (GC-1) term and condition entitled 'Termination and Enforcement,' on the basis that they no longer effectuate the program goals or agency priorities. This is the final agency decision and not subject to appeal. Costs incurred as a result of this termination may be reimbursed, provided such costs would otherwise be allowable under the terms of the award and the governing cost principles. In accordance with your award terms and conditions, you have 30 days from the termination date to furnish an itemized accounting of allowable costs incurred prior to the termination date. Sincerely, Jamie H. French, Division Director Office of Budget Finance and Award Management (BFA) Division of Grants and Agreements (DGA)

Today, we received notice that our team’s last remaining NSF grant was terminated. For the first time since 2009, when I received an NSF Fellowship for Graduate Research, I have no active NSF grants.

A nice tutorial on distributed lag models using #rstats 📦 {mgcv}. But if you want to fit these to time series you might want to consider the {mvgam} 📦 instead ecogambler.netlify.app/blog/distrib...

YouTube video by Tom Wildenhain On The Turing Completeness of PowerPoint (SIGBOVIK)

Next person to ask me why I use #Rstats and not python has to start using Power Point for their data science work.

youtu.be/uNjxe8ShM-8

📢Just out! Our latest episode🎧dives into the design & development of the tools that have transformed #DataScience & statistical programming - with Dr Hadley Wickham @hadley.nz. Hadley is the Chief Scientist at Posit (formerly RStudio). To listen, search your pod app for The Random Sample. #rstats

Webinar: Reproducible workflows in R | Infra4NextGen This webinar offers an introduction to efficient, seamless and reproducible data analysis.

Join our next #Infra4NextGen webinar to improve your #DataAnalysis workflows and learn how to create a reproducible environment for your #RStats projects! #OpenScience #ReproducibleResearch
🕙 Tue, 3rd June, 10:00 am
👉 Register here: infra4nextgen.com/events/webin...

Next week!

Bridges and Communities. My Journey as an rOpenSci Champion Developing the ARcenso package with rOpenSci and presenting it to R communities

A wonderful reflection by Andrea Gomez Vargas on her experience of the @ropensci.org Champions program, and making Argentine census data standardized and accessible along the way ropensci.org/blog/2025/05... #rstats

(Y en Espanõl! ropensci.org/es/blog/2025... #rstatsES)

Research opportunities | GAMbler If you are interested in joining my research group, or for any other enquiries, please contact me. You can find my most up-to-date contact details on my [University of Queensland page](https://about.u...

I'm currently seeking PhD candidates to help me work on exciting ecological forecasting problems using #rstats ecogambler.netlify.app/opportunities/ 🌎

mvgam R package overview cheatsheet

Want to move beyond simple forecasting algorithms for modelling real world time series? The {mvgam} #rstats 📦 has you covered nicholasjclark.github.io/mvgam/

Has anybody used marginaleffects to display the effects of cumulative ordinal models? I'd love to hear how you went about it. Sometimes I feel that interpreting coefficients from such models is still more informative than calculating a e.g. contrasts. #statssky #rstats

Does Matlab have any decent support for non-Gaussian series, such as proportional or overdispersed non-negative data? There is almost nothing that I'm aware of for #rstats

Screenshot of documentation from ggforce::geom_mark_hull, which shows groups of points outlined with text labels that have a style where the line from the hull to the label angles and becomes the underline of the label.

#rstats folks: Anyone have an example of making text labels like the ones @thomasp85.com uses for ggforce::geom_mark_* functions, but for individual points, not groups? I want this angled-line-to-underline aesthetic for ggrepel'd text labels of points:

Generate a methods description for mvgam models — how_to_cite.mvgam Create a brief but fully referenced methods description, along with a useful list of references, for fitted mvgam and jsdgam models

I have one in the {mvgam} 📦 that gives a referenced methods scaffold for the models that it fits: nicholasjclark.github.io/mvgam/refere.... Very supportive of this idea so please let me know if you come up with more useful solutions

Great thanks for the helpful tips! I think this is getting there now :)

Some new additions in the {mvgam} #rstats 📦 now make it easier to visualise the complex associations among species that can be inferred from latent variable models nicholasjclark.github.io/mvgam/refere...

I like this idea but it does make it hard to understand partial correlations or to identify sites that have more similar species compositions. A good bit of ancillary information though

Thanks for your suggestions. I incorporated most of them, but still needs refinement

Customizing a vegan pca plot with ggplot2 I'm trying to make a custom plot of some vegan rda results in ggplot2. I'm essentially modifying directions as seen in Plotting RDA (vegan) in ggplot, so that I am using shape and color labels to c...

Hey @mjskay.com it would be wonderful to hear your input on how to navigate the visualisation hell that is ordination biplots stackoverflow.com/questions/46.... These are extremely common in ecology but always look like vomit in a page to me

swirl: Learn R, in R. :computer: swirl's official website

One of the coolest ways to learn #RStats by doing is swirl (swirlstats.com). It's a free R package that runs interactive lessons right in your R console, letting you practice as you learn. I loved it when I was starting out! #datascience #rladies

"As usual, you can install the latest release from our R-Universe" 😉 #rstats