Now included in the latest version (v0.16.3) of the #rstats #eq5d package which is available on #CRAN and also at github.com/fragla/eq5d.
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v0.16.3 of the #rstats #eq5d package is now on #CRAN. The release includes the new EQ-5D-5L value set for UK and the EQ-5D-Y-3L value set for Hong Kong.
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
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quallmer looks like a serious step toward making qualitative research with LLMs more transparent, reproducible, and methodologically grounded.
Codebook-based workflows + inter-coder reliability (Krippendorff’s alpha, Fleiss’ kappa) + audit trails = bridging classic qualitative rigor with […]
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New CRAN package MultiscaleSCP with initial version 0.1.1
#rstats
https://cran.r-project.org/package=MultiscaleSCP
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Introduction to Regression Analysis in R by Kayleigh Keller
#RStats
bigbookofr.com/chapters/statistics.html
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library(tidyplots) spendings |> tidyplot(x = amount, y = category, color = category) |> add_sum_bar(alpha = 0.2) |> add_sum_dash() |> add_sum_value(accuracy = 1, color = "black") |> sort_y_axis_levels() |> remove_legend()
This is how you can do horizontal bars in #tidyplots 😉
#rstats #dataviz #phd
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CRAN updates: BAT EWSmethods tEDM #rstats
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Well, thanks for all the good advice #rstats community
Because that was a far smoother first-time CRAN review process than you led me to expect 😄
6 days from submission to a nice short approval email. I'm as pleased with this as I was having my first academic paper published!
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the xml part is hard, not the #RStats one no ?
{xml2} and/or {rvest} are pretty handy
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This week on What's New in R:
✅ Guide to detecting outliers in R by @Dr. M. Fatih T.
✅ Tutorial by @bastianolea.rbind.io on visualizing Chilean census data as maps
✅ Walkthrough of generating dynamic alt text for Shiny app plots by @jumpingrivers.com
Read the issue: buff.ly/b9epl8e
#rstats
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CRAN readmissions: shrinkGPR #rstats
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CRAN updates: azr BCBCSF DIVINE infoxtr multivar phsmethods qfa refugees robscale TBRDist TwoTimeScales #rstats
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Screenshot of a GitHub issue thread demonstrating our review bot listing the most similar packages to a submission
Lots of neat stuff in March's @ropensci.org update, including:
- O nosso guia agora é trilíngue (Inglês, Espanhol e *Português*)!
- @mpadge.bsky.social's {pkgmatch} is now run on all submissions to help find reviewers and discover prior art in similar packages!
ropensci.org/blog/2026/03... #rstats
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Join "Causal Inference in R Using MatchIt and WeightIt" with @noahgreifer.bsky.social on April 15-17. Gain hands-on #causalinference experience in #Rstats and learn matching and weighting methods for estimating and interpreting treatment effects.
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Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
A photo of the ocean from the shore. Small waves are breaking on a rocky beach in the foreground. The sun is shining from behind a few clouds on the horizon in an otherwise clear blue sky.
@dslc.io welcomes you to week 13 of #TidyTuesday! We're exploring Coastal Ocean Temperature by Depth!
📂 https://tidytues.day/2026/2026-03-31
📰 https://data.novascotia.ca/stories/s/a25g-piws
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
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Promotional graphic for a "Contributing to base R" event with Ella Kaye on Tuesday, March 31 @ 12 pm ET at pos.it/dslab. The background features a large blue R logo over faint grey statistical plots, including a scatter plot, histogram, and line graph.
Did you know you (yes, YOU!) can contribute to base R?
Base R is the foundation of everything #RStats. If you’ve ever found a bug or thought of an improvement, you can help shape the language.
Join @ellakaye.co.uk on the Posit Data Science Lab tomorrow to learn how to get started! pos.it/dslab
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Check out the Statistics Globe Hub: statisticsglobe.com/hub
The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python.
#randomforest #machinelearning #datascience #rstats #statisticsglobehub
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The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️
URL: dieghernan.github.io/202602_geobo...
#RStats #RSpatial #GISchat
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Why is working with XML in #RStats so hard 😭
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The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️
URL: https://dieghernan.github.io/202602_geobounds/
#RStats #RSpatial #GISchat
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"Colors for the plots were gathered from the pokepal palettetown package (Lucas 2016)."
Makes me so happy when my #pokemon colour palette #RStats package gets cited. onlinelibrary.wiley.com/doi/full/10....
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We're starting a series of short event roundups for @posit.co!
Currently focusing on open CFPs, but I’ll shift to live announcements as the season picks up.
Question for the #RStats & #Python community: What would make these more useful for you? Welcome any feedback 🙏
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Graphic listing upcoming tech event dates and Call for Proposal (CFP) deadlines. CFP Deadlines: dbt Summit (Sept 15-18, Las Vegas): Mar 31 EARL 2026 (Oct 6-8, Brighton, UK): Mar 31 PyData Amsterdam (Sept 10-11, NL): Apr 1 (come chat with Posit) RSS International Conference (Sept 7-10, Bournemouth, UK): Apr 8 PyData Yerevan (Jul 24-26, ARM): Apr 19 PyOhio (Jul 25-26, Cleveland, OH): Apr 20 Upcoming Events: Applied Machine Learning Conference (Charlottesville, VA): Apr 17-18 BSides Charm 2026 (Baltimore, MD): Apr 25-26 (we'll be here, too!)
Happy Monday! ☕️ Here’s our weekly roundup of upcoming CFPs and events for #Rstats, #Python, and Open Source.
🔹 dbt Summit: Mar 31 www.getdbt.com/dbt-summit
🔹 EARL 2026: Mar 31 earl-conference.com
🔹 PyData Amsterdam: Apr 1 amsterdam.pydata.org
More details in the image! Spot any events we missed? 👇
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A Business Analyst’s Introduction to Business Analytics by Adam Fleischhacker
#RStats
bigbookofr.com/chapters/statistics.html
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CRAN updates: graphicalExtremes pharmaversesdtm #rstats
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Understanding Time-Series Forecasts with Sensitivity Analysis (ahead::dynrmf and external regressors)
What is sensitivity analysis in this context? It’s about evaluating the impact of changes in the external regressors on the time-series forecast.
thierrymoudiki.github.io/blog/2026/03...
#rstats
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CRAN updates: adaptr #rstats
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Graphs and Statistics with ggstatsplot in R: New module in the Statistics Globe Hub.
More info: statisticsglobe.com/hub
Only 1 day left to get access to all March modules. Join now to secure your access.
#statistics #datascience #rstats #datavisualization #machinelearning #ai
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CRAN updates: bmm multiwave simDAG tableParser #rstats
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