⚠️⚠️New Blog Post! ⚠️⚠️ Centering in Moderation Analysis: A Guide We talk about: how to center variables (including categorical variables!), when you need to use it (moderation analysis, ANOVA) and how to do it (easystats's datawizard)! #rstats blog.msbstats.info/posts/2024-01-…

#TidyTuesday #LEAP24 #leapday2024 A half-violin, half-dotplot to show the births, deaths and events happening on leap days, as listed on Wikipedia's February 29 page. Code🔗tinyurl.com/tidy-leap Tools #ggplot2, #rstats, {see} by Daniel 🕹️, Dominique Makowski 🧙 & Indrajeet Patil (इंद्रजीत पाटील)

You want to create frequency and cross tables in #rstats easily? Also for weighted data? We have added some new features to our {datawizard}📦lately, see e.g. easystats.github.io/datawizard/ref… If you want your tables in HTML or markdown format, just use `print_html()` or `print_md()`-easy!

(4) "Transitioning to R for Statistics" will run June 17-18 and ease the transition to R for those who already know correlations, group comparisons, and multiple regression in another software package. Uses {easystats} tools and donates to easystats. smart-workshops.com/rstats-info

(5) "Transitioning to R for Multilevel Modeling" will run June 18-19 and eases the transition to R for those who already know mixed effects modeling (MLM/HLM/GLMM) in another software package. Uses {easystats} tools and donates to easystats. smart-workshops.com/rmlm-info

🚨New publication in Behavior Research Methods!🚨 We review outlier detection methods and how to achieve them in R using #easystats' {performance} 📦 📄paper: doi.org/10.3758/s13428… 📃preprint: doi.org/10.31234/osf.i… 💻performance: easystats.github.io/performance/re… #rstats

You may think it's just s small addition to one of our packages, but overall, the many small pieces form a marvelous "R Framework for Easy Statistical Modeling, Visualization, and Reporting" #easystats

And another "small but great" piece in our #easystats collection...

#statstab #129 Structural Models (EFA, CFA, SEM, ...) w/ {parameters} Thoughts: Lots of debate about #EFA vs #CFA; very confusing. Once I figure out what to use, this #R package seems to have lots of functionality. #rstats #factoranalysis #r #stats easystats.github.io/parameters/art…

Today Tom Geva (from Ben-Gurion University of the Negev's Statisticas and Data Analysis program) presented the work he's done over the last few months for easystats's correlation package 👏

Are you working with mixed (multilevel) models in #rstats and wondering how to calculate R2? Grab the latest updates of our #easystats {performance} and {insight} packages from CRAN and try out "r2_nakagawa()" (or simply "r2()" for mixed model): easystats.github.io/performance/re… /1

We improved the accuracy for many new model families and validated the results against examples from the paper that has proposed this method: royalsocietypublishing.org/doi/10.1098/rs… "r2_nakagawa()" is probably one of the most accurate functions to return R2 for mixed models in #rstats.

A new feature that *might* be added to our #rstats #easystats packages soon: checking models for correct adjustment by using DAGs! `check_dag()` (working title) makes it so easy to check the causal paths of your model and tells you how to address misspecifications!

A short update on this feature: - Improved documentation (easystats.github.io/performance/re…) - Streamlined text output - Improved plots #rstats #easystats #DAG

NEW to {bayestestR} dev version - support for #marginaleffects! Take it for a test drive: remotes::install_github("easystats/bayestestR") easystats #rstats