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
Global
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: https://t.co/BVkc7Bs195
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📅SAVE THE DATE | May 31st 2025 We are excited to have Dr. Debora J Bell as our keynote speaker for this year's #ABCTStudentSymposium2025! Additionally, we are excited to share our mid-symposium professional development session!
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🚨 New partnership alert! We’re teaming up with @PsychRstats—an amazing peer-led community making stats & R more accessible in psych science. Excited to promote open science & inclusive learning together! More to come. 👀 #OpenScience #RStats #PsychTwitter #Collaboration
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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! https://t.co/YTPXZFdkbc 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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Cannot be more excited to be back with another training session! #psychrstatsclub #r! Do not forget to join us on bluesky!
Join us on 2nd February for a session on mediation & moderation using R, conducted by our very own core team member @MunnaRShainy !✨ Register: https://t.co/2KiHfKhXAC
@improvingpsych @ABRIR_Psy PS: We're prioritizing bluesky! Follow us there: https://t.co/Y5XxQrKp2z
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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: https://t.co/2KiHfKhXAC
@improvingpsych @ABRIR_Psy PS: We're prioritizing bluesky! Follow us there: https://t.co/Y5XxQrKp2z
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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: https://t.co/2KiHfKhXAC
@improvingpsych @ABRIR_Psy PS: We're prioritizing bluesky! Follow us there: https://t.co/Y5XxQrKp2z
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New version 0.2.0 of https://t.co/j0S95ni3yI now on CRAN 🚀 🐞 Important bug fix of standard deviation plots 🎄 More customization of fonts and themes 🤖 New heuristic to determine dodge_width #rstats #dataviz #phd
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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 👇 https://t.co/Ho38m3FPDr
#RStats #DataVisualization #DataScience #RProgramming #DataViz
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ROBUST REGRESSION IN #R ! 💪 {robustbase} 5 min video for details: https://t.co/H48CWUgjkv
#rstats #statistics #dataanalysis #stats #datascience #r4ds
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tidyplots is an R package to generate publication-ready plots for scientific papers https://t.co/NUMfIyJ7Wi
#rstats
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For many behavioral scientists, nothing stings like study results with an unexpectedly small effect. My coauthors—@LinneaGandhi @BenSManning—and I explore the scientific practices and psychological tendencies that drive this phenomenon in our new paper in current directions
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Interested in diving deeper into python and computational science? Join Patrick F. Bloniasz to learn more! 🗓️ Join us at 1-2pm ET, 24th November 🔗 Register here: https://t.co/3xYjkYHIBC
#neuronov2024 #convention #neuroscience #research #science #coding
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@jessesingal Maybe you will enjoy @smreeteemehta and me give a personal history of the replication crisis in psychology on @nulliusverbapod
https://t.co/VJK2giuV1e
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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: https://t.co/HiwzngYpnD P.S. We're also on Blue Sky Now! https://t.co/Y5XxQrJRd1
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Another great tutorial organised by @PsychRStats in collaboration with @ABRIR_Psy! Join to learn more about Data Visualization Basics in R, delivered by @PsychRStats very own core team member @fedaalgo! #OpenScience #tutorial #OpenAccess #KnowledgeForAll
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: https://t.co/HiwzngYpnD P.S. We're also on Blue Sky Now! https://t.co/Y5XxQrJRd1
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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: https://t.co/HiwzngYpnD P.S. We're also on Blue Sky Now! https://t.co/Y5XxQrJRd1
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There are many ways to organize a repository for publicly sharing data, but if you are ever looking for an example to help you start thinking about what files to share and how to structure them, I've created a sample project here. 👇
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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💥¿Quieres crear gráficos de dispersión que NO solo se vean bien, sino que también incluyan TODOS los detalles estadísticos que necesitas? ¡Usa 📦ggstatsplot!🙌 🛠️Ejemplo: ggscatterstats permite hacer diagramas de dispersión listos para publicar📈 https://t.co/8u6m4OLRGJ
#rstats
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New update to {bayestestR} expands support for a tidy workflow - working better with tidy inputs, `rvar`s, and post-modeling estimates, and generating tidy outputs! @easystats4u #rstats 🧵 https://t.co/i95bgVxfKI
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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