The official twitter account for https://xitter.cf/t.co/Smhdl3aYG0, by the @adamcchang lab.
Singapore
Joined April 2018
- Tweets150
- Following9
- Followers604
- Likes132
Pinned Tweet
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
Contributors to this update were: Zinan LU (github.com/Jacobluke-), Kah Seng LIAN (github.com/sunroofgod), A. Rosa Castillo (github.com/cyberosa). 🧵5/6
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-pyth… 🧵6/6
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.
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. 🧵
Contributors to this update were:
Kah Seng LIAN (github.com/sunroofgod),
Zhuoyu WANG (@LucasZhuoyu, github.com/Lucas1213WZY),
and Jun Yang LIAO (github.com/junyangliao)
Updated documentation for the R package can be found at: acclab.github.io/dabestr/
📢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
How do dabestr users prefer to get future releases? (2/2) #rstats #DataScience
62%Prefer to get from CRAN
23%Prefer to get from Github
15%Don't mind either
13 votes • Final resultsToday 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
ALT Image of a repeated-measures plot.
ALT Image of a delta-delta plot.
ALT Image of a Sankey diagram for paired proportional data.
ALT Image of a mini-meta plot.
An early testimonial for v2023.02.14:
xitter.cf/MathuruLab/status/1639…
A very useful update @SangyuXu, @adamcchang and everyone else involved.
We are already using it! 👍🏾