#rstats

Forecasting in Python with ahead thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning

Big Book of R

@bigbookofr.com

YaRrr! The Pirate's Guide to R by Nathaniel D. Phillips #RStats bigbookofr.com/chapters/r…

T. @ Techtonique

@teeeeeeeee.bsky.social

Model calibration with `crossval` thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning

Posit

@posit.co

There's always more to learn in R! Level up your skills at posit::conf(2025) with our workshops: ➡️ R User to Programmer with Emma Rand & Ian Lyttle 📦 Package Development with @jennybryan.bsky.social 👷 R in Production with @hadley.nz 🗓️ Sept 16–18 | 🔗 posit.co/conference/ #PositConf2025 #RStats

A promotional poster for the posit conf (2025) conference, featuring the text "R in Production." The event will take place in Atlanta from Sept. 16-18. It features a speaker named Hadley Wickham from Posit. Below the text are three interlocking cubes.

A promotional poster for the posit conf (2025) conference, featuring the text "From R User to R Programmer." The event will take place in Atlanta from Sept. 16-18. It features two speakers: Emma Rand of the University of York and Ian Lyttle of Schneider Electric. Below the text are three interlocking cubes.

A promotional poster for the posit conf (2025) conference, featuring the text "Package Development: The Rest of the Owl." The event will take place in Atlanta from Sept. 16-18. It features a speaker named Jenny Bryan from Posit. Below the text are three interlocking cubes.

Sharon Machlis

@smachlis.bsky.social

2/2 App includes links to source documents. You can also expand to see specific chunks. I really like having source docs with RAG I may add this to my Workshop for Ukraine session on Sept 11 if there's time! Kind of a fun use case. More info on that www.machlis.com/workshop/ #GenAI #LLMs #RStats

screenshot of a documentation retrieval interface showing 10 documentation chunks ranked by relevance.

#1 Rstudio Rproj File – Most Relevant (green tag)

#2 Rstudio Rproj File – Highly Relevant (green tag)

#3 Start – Highly Relevant (yellow tag)

#4 Extension Development – Relevant (yellow tag)

#5 Rstudio Rproj File – Relevant (yellow tag)

#6 Keyboard Shortcuts – Relevant (gray tag)

#7 Start – Related (gray tag)

#8 Rstudio Rproj File – Related (gray tag)

#9 Rstudio Keybindings – Related (gray tag)

#10 Jupyter Notebooks – Related (gray tag)

[Alt text written by ChatGPT]

Sharon Machlis

@smachlis.bsky.social

Great use case for {ragnar}, {ellmer} & Shiny! I ♥️ RAG with #RStats 😀 I'm not sure how long I'm leaving this app up, since it's my OpenAI API key, but for now smach-positron-chat.share.connect.posit.cloud [app should be fixed now to run on Posit Connect Cloud, sorry for glitch]

$How are people using positron with {here} ? Every time I try to use it I end up just moving back to RStudio because I'm fighting trying to create a .here file somewhere, or something - I feel like I've lost a link to a blog post about this, any pointers? You're not alone—many users transitioning from RStudio to Positron have questions about using the {here} package and managing project roots, especially since Positron does not use .Rproj files in the same way. Here’s how people are successfully using {here} with Positron: How {here} works in Positron: The {here} package (and its underlying rprojroot package) determines the project root by looking for certain files or folders that signal “project-hood.” These include: A .git/ folder (for Git repositories) An R package DESCRIPTION file An renv.lock file (for renv-managed projects) A _quarto.yml file (for Quarto projects) An .Rproj file (for RStudio projects) An empty .here file (as a manual marker) In Positron, there is no direct equivalent to the Rproj file unless you add one yourself. However, as long as your project folder contains any of the above markers, {here} will work as expected. Practical tips: If you use Git: You don’t need to do anything special. The presence of the .git/ folder is enough for {here} to find the project root. If you use renv, Quarto, or develop R packages: The relevant files (renv.lock, _quarto.yml, DESCRIPTION) will also serve as project root markers. If you have none of these: You can simply create an empty .here file in your project root. This tells {here} where the root is. No need to fight with .here: Just place the .here file in the root of your project folder (the top-level directory you open in Positron).$

Launching projects in Positron:

Opening a folder as a workspace in Positron sets the working directory for R, similar to opening a project in RStudio.
You can launch Positron from the command line with positron . to open the current directory as a workspace.
Summary:

You do not need a .Rproj file for {here} to work in Positron.
Use a .here file if your project doesn’t have any other root markers.
Once the root is established, {here} will work the same as in RStudio.
If you’re looking for more detailed workflow examples or blog posts, the official documentation suggests these strategies, but doesn’t link to a specific blog post. For more community tips, searching for “using {here} in Positron” or “Positron project root best practices” may help.

Let me know if you need step-by-step instructions for a specific setup!

T. @ Techtonique

@teeeeeeeee.bsky.social

about 5 hours ago

Techtonique web app for data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning

Fred Hutch Biostatistics Program

@fredhutchbiostat.bsky.social

✨ Wednesday at #JSM2025: 👉 @jtleek.bsky.social joins the panel honoring @hadley.nz and the power of the #tidyverse. 👉 Lucas Liu presents on cancer recurrence detection using deep learning + LLMs, outperforming traditional NLP. #FredHutch #LLMs #CancerAI #StatGraphics #RStats #DataScience

ww2.amstat.org

2025 Joint Statistical Meetings - Statistics, Data Science, and AI Enriching Society

The Joint Statistical Meetings (JSM) is the largest gathering of statisticians held in North America. Attended by more than 5,000 people, meeting activities include oral presentations, panel sessions,...

T. @ Techtonique

@teeeeeeeee.bsky.social

Back next week, and a few announcements thierrymoudiki.github.io/… #Techtonique #DataScience #Python #rstats #MachineLearning

@pgdataviz.bsky.social

I've been cursing out my Propensity Score Matching project all week at work so a very brief #TldyTuesday and #PyDyTuesday. If I have time I'll try and do a better job. Code here: pgdatavizandstats.netlify…. #python | #dataviz | #rstats

A graph showing income inequality between first would countries

Collin Berke

@collinberke.bsky.social

I don't regularly do geospatial analysis, but when I do, #rstats' #ggplot2 and a few other packages help me get something together quickly. Here's some packages and a chapter I've found helpful: 📦 {sf}: r-spatial.github.io/sf/ 📦 {rnaturalearth}: ropensci.github.io/rnatur… 1/2

github.com

GitHub - ropensci/rnaturalearth: An R package to hold and facilitate interaction with natural earth map data :earth_africa:

An R package to hold and facilitate interaction with natural earth map data :earth_africa: - ropensci/rnaturalearth

Josephine Kaminaga

@jkaminaga.bsky.social

super simple shiny app for today's #TidyTuesday: how has post-tax income inequality reduction changed over time for 2020's most & least unequal countries? (really simple graphics, but wanted to practice shiny apps) code: bit.ly/40U8L45 shiny: jkaminaga.shinyapps.io/gi…. #dataviz #Rstats

Screenshot of a Shiny app displaying a dumbbell plot that compares pre and post tax Gini coefficients in 2020 for Colombia, Brazil, Paraguay, Mexico, Bulgaria, Sweden, Netherlands, Austria, Norway, and Belgium, as well as the mean overall Gini score for that year.

Geoeconomics

@geoeconomica.bsky.social

Gonna put it all together in a proof of concept for a training dashboard on #tradebasedmoneylaundering #rstats Shiny? D3? Something else?

Big Book of R

@bigbookofr.com

Learning Microeconometrics with R by Christopher P. Adams #RStats bigbookofr.com/chapters/e…

tj ♏️ahr

@tjmahr.com

knitr trick to forward a function definition into a code chunk #rstats

$I wrote a function to get the original source code for a function. then I use code = inline_function_def() in the chunk options to insert that code into the R code chunk so it print outs. ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) inline_function_def <- function(f) { lines <- attr(f, "srcref")[c(1, 3)] source <- attr(attr(f, "srcref"), "srcfile") source$lines[seq(lines[1], lines[2])] } source("R/functions.R", keep.source = TRUE) ``` We used the following function: ```{r, code=inline_function_def(fit_main_model)} ```$

knitr output showing the function definition being printed

Shannon Pileggi

@pipinghotdata.com

I'm looking forward to instructing #rstats debugging 🐞 with @edavidaja.com at #useR2025 this weekend! 💙 Please say hi if you are there! 👋

hrbrmstr 🇺🇦 🇬🇱 🇨🇦

@hrbrmstr.dev