
Psych #rstats Club | @psychrstats.bsky.social
@PsychRStats
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An open-science, collaborative learning platform to help you apply statistics & R Programming to Psychology! #rstats Join us: https://t.co/lHKvA13qax
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Joined April 2023
🚨We're thrilled to announce our upcoming workshop on Multilevel Modelling in R with the amazing @aggieerin 🎉✨ The workshop is FREE & will take place online on 18th August. We're grateful to @improvingpsych for making this possible. Register here:
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RT @ABCTStudentSIG: 📅SAVE THE DATE | May 31st 2025.We are excited to have Dr. Debora J Bell as our keynote speaker for this year's #ABCTStu….
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RT @CollabLibrary: 🚨 New partnership alert!.We’re teaming up with @PsychRstats—an amazing peer-led community making stats & R more accessib….
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🚨We're excited to announce our partnership with @CollabLibrary - which works towards breaking down barriers to scientific knowledge through multimedia plain language summaries of scientific articles! We're more active on Bluesky:
thecollaborativelibrary.com
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Remember to submit for this amazing virtual conference! Kudos to @ABCTStudentSIG for creating this incredible opportunity, allowing students to present, receive feedback and network, without the barrier of visas and travel costs. #ABCTStudentSymposium2025.
🚨 CALLING ALL UNDERGRADUATE, POST-BACC, AND GRADUATE STUDENTS!. The ABCT Student SIG is excited to announce that we are now ACCEPTING PROPOSALS for our third annual Student Research Symposium! . Check out the thread below for more info on this FREE & VIRTUAL event!
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RT @PsychRStats: Join us on 2nd February for a session on mediation & moderation using R, conducted by our very own core team member @Munna….
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Join us on 2nd February for a session on mediation & moderation using R, conducted by our very own core team member @MunnaRShainy !✨ .Register: . @improvingpsych @ABRIR_Psy .PS: We're prioritizing bluesky! Follow us there:
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RT @JanBroderEngler: New version 0.2.0 of now on CRAN 🚀. 🐞 Important bug fix of standard deviation plots.🎄 More cus….
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There are many super cool data visualization packages that are left unnoticed -- KEEP IT SAVED IT RIGHT AWAY! 🤩.
🚀 Level up your R data viz skills in 2025!.Check out the top Data Visualization Packages for R by @citedrive 👇.#RStats #DataVisualization #DataScience #RProgramming #DataViz.
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RT @yuzaR___: ROBUST REGRESSION IN #R ! 💪 {robustbase}. 5 min video for details: #rstats #statistics #dataanalysis….
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RT @tangming2005: tidyplots is an R package to generate publication-ready plots for scientific papers #rstats https….
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RT @angeladuckw: For many behavioral scientists, nothing stings like study results with an unexpectedly small effect. My coauthors—@LinneaG….
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RT @NeuroNovember: Interested in diving deeper into python and computational science? Join Patrick F. Bloniasz to learn more!. 🗓️ Join us a….
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RT @lakens: @jessesingal Maybe you will enjoy @smreeteemehta and me give a personal history of the replication crisis in psychology on @nul��.
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RT @PsychRStats: Join us for our next session on Data Visualization Basics in R, delivered by our very own core team member @fedaalgo ! On….
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RT @ABRIR_Psy: Another great tutorial organised by @PsychRStats in collaboration with @ABRIR_Psy! . Join to learn more about Data Visualiza….
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Join us for our next session on Data Visualization Basics in R, delivered by our very own core team member @fedaalgo ! On 8th December at 2PM UTC. Register here: . P.S. We're also on Blue Sky Now!
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RT @Cghlewis: There are many ways to organize a repository for publicly sharing data, but if you are ever looking for an example to help yo….
osf.io
This project included an efficacy study of FIDO (fictitious intervention for demonstration only). Other relevant info can go here. Hosted on the Open Science Framework
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RT @RosanaFerrero: 💥¿Quieres crear gráficos de dispersión que NO solo se vean bien, sino que también incluyan TODOS los detalles estadístic….
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RT @mattansb: New update to {bayestestR} expands support for a tidy workflow - .working better with tidy inputs, `rvar`s, and post-modeling….
easystats.github.io
Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI;...
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