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dabestr  

Data Analysis using Bootstrap-Coupled Estimation
View on CRAN: Click here


Download and install dabestr package within the R console
Install from CRAN:
install.packages("dabestr")

Install from Github:
library("remotes")
install_github("cran/dabestr")

Install by package version:
library("remotes")
install_version("dabestr", "2025.3.15")



Attach the package and use:
library("dabestr")
Maintained by
Yishan Mai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2025-02-26
Description:
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. . The free-to-view PDF is located at .
How to cite:
Yishan Mai (2018). dabestr: Data Analysis using Bootstrap-Coupled Estimation. R package version 2025.3.15, https://cran.r-project.org/web/packages/dabestr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:30), 0.1.0 (2018-11-19 20:20), 0.2.0 (2019-01-07 20:10), 0.2.1 (2019-06-26 13:50), 0.2.2 (2019-07-04 18:20), 0.2.3 (2020-02-11 18:30), 0.2.4 (2020-03-21 20:00), 0.2.5 (2020-04-20 21:30), 0.3.0 (2020-07-13 08:50), 2023.9.12 (2023-10-13 13:50), 2025.3.14 (2025-02-26 13:50)
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