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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>.

Version:2025.3.15
Depends:R (≥ 2.10)
Imports:boot,brunnermunzel,cli,cowplot,dplyr,effsize,ggbeeswarm,ggplot2 (≥ 3.5.2),ggsci, grid,magrittr,RColorBrewer,rlang,scales, stats,stringr,tibble,tidyr,viridisLite
Suggests:kableExtra,knitr,rmarkdown,testthat (≥ 3.0.0),vdiffr
Published:2025-10-30
DOI:10.32614/CRAN.package.dabestr
Author:Joses W. HoORCID iD [aut], Kah Seng Lian [aut], Ana Rosa Castillo [aut], Zhuoyu Wang [aut], Jun Yang Liao [aut], Felicia Low [aut], Tayfun TumkayaORCID iD [aut], Jonathan AnnsORCID iD [ctb], Yishan MaiORCID iD [cre, ctb], Sangyu XuORCID iD [ctb], Zinan Lu [ctb], Hyungwon ChoiORCID iD [ctb], Adam Claridge-ChangORCID iD [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.html ,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_2025.3.15.tar.gz
Windows binaries: r-devel:dabestr_2025.3.15.zip, r-release:dabestr_2025.3.15.zip, r-oldrel:dabestr_2025.3.15.zip
macOS binaries: r-release (arm64):dabestr_2025.3.15.tgz, r-oldrel (arm64):dabestr_2025.3.15.tgz, r-release (x86_64):dabestr_2025.3.15.tgz, r-oldrel (x86_64):dabestr_2025.3.15.tgz
Old sources: dabestr archive

Reverse dependencies:

Reverse imports:permubiome

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=dabestrto link to this page.


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