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dabestr
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", "2025.3.14")
Attach the package and use:
library("dabestr")
Maintained by
Yishan Mai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dabestr . https://github.com/ACCLAB/dabestr . https://acclab.github.io/dabestr/ . dabestr citation info . dabestr results . dabestr.pdf . dabestr_2025.3.14.tar.gz . dabestr_2025.3.14.zip . dabestr_2025.3.14.zip . dabestr_2025.3.14.zip . dabestr_2025.3.14.tgz . dabestr_2025.3.14.tgz . dabestr_2025.3.14.tgz . dabestr_2025.3.14.tgz . dabestr archive . https://CRAN.R-project.org/package=dabestr .
First Published: 2018-11-19
Latest Update: 2020-07-13
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 2025.3.14, https://cran.r-project.org/web/packages/dabestr. Accessed 09 May. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for dabestr
Functions, R codes and Examples using
the dabestr R package
Some associated functions: dabest_plot . deltadelta_data . effect_size . load . minimeta_data . non_proportional_data . plot_kwargs . proportional_data . reexports .
Some associated R codes: 000_README.R . 000_data.R . 000_globals.R . 000_reexports.R . 001_api.R . 001_effsize_func.R . 001_plotter.R . 002_df_for_plots.R . 002_plot_api.R . 002_plot_components.R . 002_plot_geoms.R . 002_plot_themes.R . 002_separate_plots.R . 003_bootstrap_tools.R . 003_formulas.R . 003_pvalues_and_permutation_test_tools.R . 004_slopegraph.R . 005_printing.R . 999_plot_kwargs.R . 999_plot_palettes.R . Full dabestr package functions and examples
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