Estimation Stats

Today we are excited to launch DABEST Version 2 aka “Ondeh” , which adds entirely new statistical graphics for paired proportions, standardized delta-delta effect size, and gives new options for dot swarms. 🧵1/6

We hope you get a chance to use DABEST v2024.03.29 in your work. We hope to hear your feedback here and on GitHub. Refreshed documentation and tutorial can be found at acclab.github.io/DABEST-python 🧵6/6

Contributors to this update were: Zinan LU (github.com/Jacobluke-), Kah Seng LIAN (github.com/sunroofgod), A. Rosa Castillo (github.com/cyberosa). 🧵5/6

Today we are excited to launch DABEST Version 2 aka “Ondeh” , which adds entirely new statistical graphics for paired proportions, standardized delta-delta effect size, and gives new options for dot swarms. 🧵1/6

② Users may add a baseline error curve to shared control contrast plots, displayed below the control group. This is the distribution of the bootstrapped mean differences from comparing the control against itself and is a measure of inherent variability within the control group.

We have also added several features not yet present in the Python version of the package: ① As you may have noticed from the images in the thread below, we have adopted asymmetrical swarmplots, thereby better showing the distribution underlying the raw data.

Updated documentation for the R package can be found at: acclab.github.io/dabestr/

Contributors to this update were: Kah Seng LIAN (github.com/sunroofgod), Zhuoyu WANG (@LucasZhuoyu, github.com/Lucas1213WZY), and Jun Yang LIAO (github.com/junyangliao)

Exciting news for dabestr users! We are releasing dabestr version “Lapis” (v2023.9.12), which adds estimation graphics for four new data types: repeated measures, 2 × 2 designs, proportions, and easy meta-analyses. 🧵

How do dabestr users prefer to get future releases? (2/2) #rstats #DataScience

📢To our R users: We will soon release a new version of dabestr (acclab.github.io/dabestr/) with brand new goodies such as repeated measures, proportion plot, mini-meta and delta-delta. #rstats #datascience We want to know how you prefer to get the package (poll in next tweet): 1/2

(Apologies for redoing this tweet thread, our previous images were showing up as sensitive content. This has now been fixed.)

An early testimonial for v2023.02.14: twitter.com/MathuruLab/sta…

Today we are excited to launch DABEST’s first major update. The Python library now offers four new functions: repeated measures, the ∆∆ plot (‘delta-delta’), proportional plot, and mini-meta plot. These expand DABEST’s capabilities to more complex experimental designs. 🧵1/13