usethis docs: Package setup (pkgcreationdocs01) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 usethis docs: Package setup youtu.be/edjAvUWg6qw

🔵 DSLC Project Club: {oregonfrogs} youtu.be/KDngQp3h8DU

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats

Fundamentals of Data Visualization: Don't go 3D & Understanding image file formats (dataviz01 26 27) YouTube video by Data Science Learning Community Videos

Recent DSLC.io club meetings:

🔵 Data Visualization: Don't go 3D & 27 Understanding the most commonly used image file formats youtu.be/CoGn5oqgxT4

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats #PyData #DataViz

Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity Use gmnl With (In) R Software
dik.si/ggmnl
Instrumental variables estimation using heteroskedasticity-based instruments Use ivreg2h With STATA 19
ln.run/ivreg2h
#rstudio #rstats #rsoftware #rstatistics

TIL you can create and customize ggplot2 visualizations using your voice alone. #Rstats

Announcing a new feature in the Posit Publisher extension!

Now you can use push-button publishing to deploy to Connect Cloud directly from #Positron and VS Code to streamline deployment for #Python and #RStats users.

Learn more: posit.co/blog/connect...

The Art of Data Visualization with ggplot2 The TidyTuesday Cookbook

The Art of Data Visualization with ggplot2: A free online book by @nrennie.bsky.social that guides us through the entire process of creating plots, including why certain decisions were made, using real datasets that have been part of #TidyTuesday. Very excited to get stuck into this one. #rstats

Screenshot of the positron IDE with a tab showing a list of issues and an open issue.

Oh, boy, I has missed this positron feature. You can link your github account and access PR and issues directly from the IDE.

#RStats

#rstats 📦 {latentnet} 2.12.0 is now on #CRAN. It implements a long-requested feature for fitting count networks (interactions, co-occurrences, etc.) using a binomial model. Different pairs of actors can now have different binomial "trials". Full news at cran.r-project.org/package=late... .

GitHub - fragla/eq5d Contribute to fragla/eq5d development by creating an account on GitHub.

v0.16.1 of the #rstats #eq5d package is now on #CRAN. The release includes the recent EQ-5D-5L value set for Singapore and the EQ-5D-Y-3L value set for Australia.

More info and examples of how to use it at github.com/fragla/eq5d and cran.r-project.org/package=eq5d.

@euroqol.bsky.social
#heor #hta

An APA-formatted table of demographic characteristics of a sample

Recreating each of the tables in Chapter 7 of the Publication Manual of the American Psychological Association (7th Edition) tables in R with apa7 (Part 2 of 24)

Featuring hanging indents, column spanners, and decimal alignment

wjschne.github.io/posts/apatab...

#rstats #apastyle

CRAN (un-officially) endorses the {bracket} notation of referencing packages! #RStats

Free course previews:

- Working with Rows: statisticsglobe.com/online-cours...
- Violin Plots: statisticsglobe.com/online-cours...
- Sampling Methods: statisticsglobe.com/online-cours...
- PCA in R: statisticsglobe.com/online-cours...

#rstats #statistics #datascience #rstudio #dataviz

Easily download files from the Open Science Framework with Papercheck Researchers increasingly use the Open Science Framework (OSF) to share files, such as data and code underlying scientific publications, or ...

New blog post: Easily download files from the Open Science Framework with Papercheck daniellakens.blogspot.com/2025/07/easi...

Downloading all files in an OSF project can be a hassle. Not anymore, with Papercheck! Just run:

osf_file_download("6nt4v")

This is such a cool addition to the powerful #rstats functionality enabling smooth #OpenScience workflows 🤩

Causal Inference in R | Online Workshop | Statistical Horizons This online seminar taught by Noah Greifer, Ph.D., will introduce using the MatchIt and WeightIt packages in R for causal inference.

Looking to strengthen your #causalinference skills? Join @noahgreifer.bsky.social on Aug. 12-15 for "Causal Inference in R Using MatchIt and WeightIt" to gain the skills to apply these #Rstats packages to estimate and interpret treatment effects.

🚀 Webinar 8/28 10 AM PT | Git, GitHub CI/CD & LLMs for clinical trials.

15+ pharma programmers reveal: ⚙️ Branching/PRs, 🤖 Actions‑driven QC, ✨ LLM edge‑case checks.

Speakers: Ning Leng, Eli Miller, Ben Straub

Register ➡️ r-consortium.org/webinars/unl...

#rstats #opensource

🎉 Great news, R users! 🎉 We're thrilled to announce that {tinyplot} support is coming to the #rstats #easystats project! Get ready for even more amazing stuff to make your data analysis a breeze! 📊✨
@gmcd.bsky.social @vincentab.bsky.social @zeileis.org

Looking forward to seeing you there!
#RStats #RLadies #RLadiesMelb #DataScience

CRAN release of reproducibleRchunks v1.1.0 - now with full support of all standard knitr code chunk options.
There are also some example vignettes to get you started: brandmaier.github.io/reproducible...
or just read our Open Access article in Collabra: Psychology: doi.org/10.1525/coll... #rstats

R/Medicine Talk Recap: Automating Patient Inquiry Tracking in Pharma with Shiny - TCB Analytics Last month, TCB’s Tanya Cashorali gave a talk at R/Medicine 2025, covering a recent project where we automated patient inquiry tracking with R, Shiny and Smartsheet for a pharmaceutical company. Here’...

At R/Medicine 2025, TCB's @tcash21.bsky.social shared how we streamlined patient support tracking for a rare disease pharma using #RStats, #Shiny, and Smartsheet. Check out a recap and watch the talk here: tcbanalytics.com/2025/07/02/r...

R Package Quality: Documentation Not all R packages are clearly “good” or “risky”, most fall somewhere in between. This post introduces our scoring framework around package documentation. We investigate the different measures, then look at a few well known packages.

Not all R packages are clearly “good” or “risky”, most fall somewhere in between. This post introduces our scoring framework around package documentation. We investigate the different measures, then look at a few well known packages.


#rstats #packagevalidation #softwaredevelopment

🗓️ NHS-R Community Events 🗓️

Don’t forget to check out the NHS-R Community website (nhsrcommunity.com/events.html) to register for the latest workshops, webinars and Coffee and Coding sessions!

We look forward to seeing you there! 😊

#rstats

{tinytable} is a dead simple, ultra-flexible, and dependency-free #Rstats 📦 to turn data frames into beautiful tables: html, word, pdf, latex, typst, markdown, etc.

v0.10.0 has cool new features and important bug fixes. Check out the detailed tutorials at:

vincentarelbundock.github.io/tinytable/

Forecasting Time Series with Linear Regression: A Feature-Driven Approach, Thu, Jul 3, 2025, 6:00 PM | Meetup Curious about time series forecasting but not sure where to start? Join us for a beginner-friendly workshop exploring how linear regression can be used for time series for

📢 Don’t forget!
Join us today at 6PM CEST for our R-Ladies Rome workshop with @@ramikrispin:
“Forecasting Time Series with Linear Regression: A Feature-Driven Approach” 📈

🔗 www.meetup.com/rladies-rome...

#rstats #timeseries #DataScience #RLadiesRome #Rusers #MachineLearning #OpenSource

📝 "Revealing research"

👤 Alison Hill

📖 Research reveals reveal.js slide-making challenges. Improving user experience is the goal.

🔗 https://www.apreshill.com/blog/2021-07-revealing-research/

#rladies #rstats #oldiebutgoodie

📝 "Parameterising a multi-part plot"

👤 Cara Thompson (@cararthompson.bsky.social)

📖 Avoid repetitive coding! Learn to parameterize plots in R. #rstats

🔗 https://www.cararthompson.com/posts/2024-03-14-parameterising-a-multi-part-plot/

#rladies #rstats #datavisualisation #parameterisedplots

🎉 We’ve just kicked off our Data Visualization in R course: From Data Wrangling to Interactive Plots!
Let´s turn raw data into powerful, beautiful stories with #ggplot2, #plotly & more! 📊✨

#RStats #DataViz #DataScience #InteractivePlots #