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dabestr: Data Analysis using Bootstrap-Coupled Estimation
Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.
Package details |
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| Author | Joses W. Ho [aut] (<https://orcid.org/0000-0002-9186-6322>), Kah Seng Lian [aut], Zhuoyu Wang [aut], Jun Yang Liao [aut], Felicia Low [aut], Tayfun Tumkaya [aut] (<https://orcid.org/0000-0001-8425-3360>), Yishan Mai [cre, ctb] (<https://orcid.org/0000-0002-7199-380X>), Sangyu Xu [ctb] (<https://orcid.org/0000-0002-4927-9204>), Hyungwon Choi [ctb] (<https://orcid.org/0000-0002-6687-3088>), Adam Claridge-Chang [ctb] (<https://orcid.org/0000-0002-4583-3650>), ACCLAB [cph, fnd] |
| Maintainer | Yishan Mai <maiyishan@u.duke.nus.edu> |
| License | Apache License (>= 2) |
| Version | 2023.9.12 |
| URL | https://github.com/ACCLAB/dabestr https://acclab.github.io/dabestr/ |
| Package repository | View on CRAN |
| Installation |
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