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>.
| Version: | 2025.3.14 |
| Depends: | R (≥ 2.10) |
| Imports: | boot, brunnermunzel, cli, cowplot, dplyr, effsize, ggbeeswarm, ggplot2 (≥ 3.5.1), ggsci, grid, magrittr, RColorBrewer, rlang, scales, stats, stringr, tibble, tidyr, viridisLite |
| Suggests: | kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr |
| Published: | 2025-02-26 |
| DOI: | 10.32614/CRAN.package.dabestr |
| Author: | Joses W. Ho  [aut],
Kah Seng Lian [aut],
Ana Rosa Castillo [aut],
Zhuoyu Wang [aut],
Jun Yang Liao [aut],
Felicia Low [aut],
Tayfun Tumkaya
[aut],
Jonathan Anns
[ctb],
Yishan Mai [cre,
ctb],
Sangyu Xu [ctb],
Hyungwon Choi
[ctb],
Adam Claridge-Chang
[ctb],
ACCLAB [cph, fnd] |
| Maintainer: | Yishan Mai <maiyishan at u.duke.nus.edu> |
| License: | Apache License (≥ 2) |
| URL: | https://github.com/ACCLAB/dabestr, https://acclab.github.io/dabestr/ |
| NeedsCompilation: | no |
| Citation: | dabestr citation info |
| Materials: | README NEWS |
| CRAN checks: | dabestr results |
Documentation:
| Reference manual: | dabestr.pdf |
| Vignettes: |
Controlling Plot Aesthetics (source, R code) Sample Datasets (source, R code) Tutorial: Basics (source, R code) Tutorial: Delta-Delta (source, R code) Tutorial: Mini-Meta Delta (source, R code) Tutorial: Proportion Plots (source, R code) Tutorial: Repeated Measures (source, R code) |
Downloads:
| Package source: | dabestr_2025.3.14.tar.gz |
| Windows binaries: | r-devel: dabestr_2025.3.14.zip, r-release: dabestr_2023.9.12.zip, r-oldrel: dabestr_2025.3.14.zip |
| macOS binaries: | r-devel (arm64): dabestr_2025.3.14.tgz, r-release (arm64): dabestr_2025.3.14.tgz, r-oldrel (arm64): dabestr_2023.9.12.tgz, r-devel (x86_64): dabestr_2025.3.14.tgz, r-release (x86_64): dabestr_2025.3.14.tgz, r-oldrel (x86_64): dabestr_2025.3.14.tgz |
| Old sources: | dabestr archive |
Reverse dependencies:
| Reverse imports: | permubiome |
Linking:
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