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Hide forest plot from current release
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README.md

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@@ -8,38 +8,26 @@ On 22 March 2024, we officially released **DABEST v2024.3.29 for
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Python**. This new version provides several new features and includes
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performance improvements.
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1. **Forest Plot**: With the new forest plot functionality, DABEST
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users can now generate forest plots, a mainstay in meta-analysis.
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This plot type is invaluable for visualizing the results of multiple
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studies or analyses simultaneously, showing not just the estimated
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effect sizes but also their confidence intervals. It is built upon
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the calculation and existing DABEST feature of delta-delta and
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mini-meta analysis and facilitates systematic reviews by generating
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a summary plot that compares delta-delta or mini-meta effect size
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plots from different studies or analysis. It’s an essential tool for
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researchers conducting systematic reviews or wanting to summarize a
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body of evidence in a single, comprehensive visual.
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2. **New Paired Proportion Plot**: This feature builds upon the
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1. **New Paired Proportion Plot**: This feature builds upon the
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existing proportional analysis capabilities by introducing advanced
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aesthetics and clearer visualization of changes in proportions
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between different groups, inspired by the informative nature of
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Sankey Diagrams. It’s particularly useful for studies that require
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detailed examination of how proportions shift in paired
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observations.
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3. **Customizable Swarm Plot**: Enhancements allow for tailored swarm
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2. **Customizable Swarm Plot**: Enhancements allow for tailored swarm
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plot aesthetics, notably the adjustment of swarm sides to produce
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asymmetric swarm plots. This customization enhances data
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representation, making visual distinctions more pronounced and
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interpretations clearer.
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4. **Standardized Delta-delta Effect Size**: We added a new metric akin
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3. **Standardized Delta-delta Effect Size**: We added a new metric akin
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to a Hedges’ g for delta-delta effect size, which allows comparisons
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between delta-delta effects generated from metrics with different
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units.
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5. **Miscellaneous Improvements**: This version also encompasses a
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4. **Miscellaneous Improvements**: This version also encompasses a
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broad range of miscellaneous enhancements, including bug fixes,
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Bootstrapping speed improvements, new templates for raising issues,
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and updated unit tests. These improvements are designed to

nbs/02-about.ipynb

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"\n",
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"DABEST is written in Python by [Joses W. Ho](https://twitter.com/jacuzzijo), with design and input from [Adam Claridge-Chang](https://twitter.com/adamcchang) and other [lab members](https://www.claridgechang.net/people.html).\n",
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"\n",
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"Features in v2024.03.29 were added by [Zinan Lu](https://github.com/Jacobluke-), [Kah Seng Lian](https://github.com/sunroofgod), [Lucas Wang Zhuoyu](https://github.com/Lucas1213WZY).\n",
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"Features in v2024.03.29 were added by [Zinan Lu](https://github.com/Jacobluke-), [Kah Seng Lian](https://github.com/sunroofgod).\n",
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"\n",
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"Features in v2023.02.14 were added by [Yixuan Li](https://github.com/LI-Yixuan), [Zinan Lu](https://github.com/Jacobluke-) and [Rou Zhang](https://github.com/ZHANGROU-99).\n",
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"\n",

nbs/_quarto.yml

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style: floating
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contents:
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- auto: "/0*.ipynb"
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- section: Tutorials
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contents: tutorials/*
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- auto: "tutorials/0*.ipynb" # Autogenerate a section of tutorial notebooks
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- section: API
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contents: API/*
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favicon: images/Favicon-3-outline.svg

nbs/read_me.ipynb

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"\n",
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"On 22 March 2024, we officially released **DABEST v2024.3.29 for Python**. This new version provides several new features and includes performance improvements.\n",
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"\n",
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"1. **Forest Plot**: With the new forest plot functionality, DABEST users can now generate forest plots, a mainstay in meta-analysis. This plot type is invaluable for visualizing the results of multiple studies or analyses simultaneously, showing not just the estimated effect sizes but also their confidence intervals. It is built upon the calculation and existing DABEST feature of delta-delta and mini-meta analysis and facilitates systematic reviews by generating a summary plot that compares delta-delta or mini-meta effect size plots from different studies or analysis. It's an essential tool for researchers conducting systematic reviews or wanting to summarize a body of evidence in a single, comprehensive visual.\n",
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"1. **New Paired Proportion Plot**: This feature builds upon the existing proportional analysis capabilities by introducing advanced aesthetics and clearer visualization of changes in proportions between different groups, inspired by the informative nature of Sankey Diagrams. It's particularly useful for studies that require detailed examination of how proportions shift in paired observations.\n",
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"\n",
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"2. **New Paired Proportion Plot**: This feature builds upon the existing proportional analysis capabilities by introducing advanced aesthetics and clearer visualization of changes in proportions between different groups, inspired by the informative nature of Sankey Diagrams. It's particularly useful for studies that require detailed examination of how proportions shift in paired observations.\n",
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"2. **Customizable Swarm Plot**: Enhancements allow for tailored swarm plot aesthetics, notably the adjustment of swarm sides to produce asymmetric swarm plots. This customization enhances data representation, making visual distinctions more pronounced and interpretations clearer.\n",
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"\n",
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"3. **Customizable Swarm Plot**: Enhancements allow for tailored swarm plot aesthetics, notably the adjustment of swarm sides to produce asymmetric swarm plots. This customization enhances data representation, making visual distinctions more pronounced and interpretations clearer.\n",
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"3. **Standardized Delta-delta Effect Size**: We added a new metric akin to a Hedges’ g for delta-delta effect size, which allows comparisons between delta-delta effects generated from metrics with different units. \n",
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"\n",
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"4. **Standardized Delta-delta Effect Size**: We added a new metric akin to a Hedges’ g for delta-delta effect size, which allows comparisons between delta-delta effects generated from metrics with different units. \n",
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"\n",
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"5. **Miscellaneous Improvements**: This version also encompasses a broad range of miscellaneous enhancements, including bug fixes, Bootstrapping speed improvements, new templates for raising issues, and updated unit tests. These improvements are designed to streamline the user experience, increase the software's stability, and expand its versatility. By addressing user feedback and identified issues, DABEST continues to refine its functionality and reliability.\n"
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"4. **Miscellaneous Improvements**: This version also encompasses a broad range of miscellaneous enhancements, including bug fixes, Bootstrapping speed improvements, new templates for raising issues, and updated unit tests. These improvements are designed to streamline the user experience, increase the software's stability, and expand its versatility. By addressing user feedback and identified issues, DABEST continues to refine its functionality and reliability.\n"
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]
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},
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{

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