The official twitter account for estimationstats.com, by the @adamcchang lab.
Joined April 2018
- Tweets 150
- Following 9
- Followers 608
- Likes 133
44 Photos and videos
Pinned Tweet
25 Mar 2024
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
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25 Mar 2024
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
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25 Mar 2024
Contributors to this update were: Zinan LU (github.com/Jacobluke-), Kah Seng LIAN (github.com/sunroofgod), A. Rosa Castillo (github.com/cyberosa). 🧵5/6
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25 Mar 2024
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
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11 Dec 2023
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.
11 Dec 2023
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. 🧵
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11 Dec 2023
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.
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11 Dec 2023
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. 🧵
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11 Dec 2023
Contributors to this update were:
Kah Seng LIAN (github.com/sunroofgod),
Zhuoyu WANG (@LucasZhuoyu, github.com/Lucas1213WZY),
and Jun Yang LIAO (github.com/junyangliao)
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1 Sep 2023
📢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
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1 Sep 2023
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 results
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24 Mar 2023
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
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.
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24 Mar 2023
An early testimonial for v2023.02.14:
x.com/MathuruLab/status/1639…
24 Mar 2023
A very useful update @SangyuXu, @adamcchang and everyone else involved.
We are already using it! 👍🏾
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24 Mar 2023
(Apologies for redoing this tweet thread, our previous images were showing up as sensitive content. This has now been fixed.)
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