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Update to v2023.9.12
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.Rbuildignore

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^Meta$
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^doc$
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^CRAN-RELEASE$
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^.*\.Rproj$
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^\.Rproj\.user$
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^\.travis\.yml$
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^cran-comments\.md$
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^LICENSE\.md$
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^_pkgdown\.yml$
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^docs$
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^pkgdown$
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^\.github$
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^README\.Rmd$
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^README-.*\.png$
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^CODE_OF_CONDUCT.md$
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^CONTRIBUTING.MD$
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^packrat/
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^\.Rprofile$
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^figures$
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^dabestr.Rmd$
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^cran-comments\.md$
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^revdep$

.github/.gitignore

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*.html

.github/workflows/R-CMD-check.yaml

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# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
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# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
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on:
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push:
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branches: [dev, master]
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pull_request:
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branches: [dev, master]
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name: R-CMD-check
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jobs:
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R-CMD-check:
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runs-on: ubuntu-latest
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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R_KEEP_PKG_SOURCE: yes
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steps:
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- uses: actions/checkout@v3
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- uses: r-lib/actions/setup-r@v2
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with:
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use-public-rspm: true
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- uses: r-lib/actions/setup-r-dependencies@v2
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with:
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extra-packages: any::rcmdcheck
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needs: check
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- uses: r-lib/actions/check-r-package@v2

.github/workflows/pkgdown.yaml

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# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
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# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
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on:
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push:
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branches: [master]
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pull_request:
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branches: [master]
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release:
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types: [published]
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workflow_dispatch:
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name: pkgdown
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jobs:
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pkgdown:
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runs-on: ubuntu-latest
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# Only restrict concurrency for non-PR jobs
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concurrency:
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group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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permissions:
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contents: write
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steps:
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- uses: actions/checkout@v3
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- uses: r-lib/actions/setup-pandoc@v2
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- uses: r-lib/actions/setup-r@v2
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with:
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use-public-rspm: true
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- uses: r-lib/actions/setup-r-dependencies@v2
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with:
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extra-packages: any::pkgdown, local::.
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needs: website
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- name: Build site
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run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE)
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shell: Rscript {0}
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- name: Deploy to GitHub pages 🚀
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if: github.event_name != 'pull_request'
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uses: JamesIves/github-pages-deploy-action@v4.4.1
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with:
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clean: false
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branch: gh-pages
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folder: docs

.gitignore

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Meta
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doc
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# Byte-compiled / optimized / DLL files
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# Testing Files
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dabestr.Rmd
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# Mac
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**/.DS_Store
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# RProj
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.Rproj.user
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.Rhistory
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.RData
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.Rhistory
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.Ruserdata
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.Rprofile
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.DS_Store
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*.DS_Store
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.RProfile
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docs
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inst/doc
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# revdevcheck temp folder
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revdep
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# test figures
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tests/testthat/Rplots.pdf
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packrat/lib*/
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packrat/src/
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figures

.travis.yml

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DESCRIPTION

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Package: dabestr
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Type: Package
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Title: Data Analysis using Bootstrap-Coupled Estimation
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Version: 0.3.0
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Version: 2023.9.12
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Authors@R: c(
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person("Joses W.", "Ho",
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email = "joseshowh@gmail.com", role = c("cre", "aut")),
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person("Tayfun", "Tumkaya",
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role = c("aut"))
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)
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Maintainer: Joses W. Ho <joseshowh@gmail.com>
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person("Yishan", "Mai", email = "maiyishan@u.duke.nus.edu", role = c("cre", "ctb"),
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comment = c(ORCID = "0000-0002-7199-380X")),
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person("Kah Seng", "Lian", email = "kahseng@u.nus.edu", role = c("aut")),
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person("Zhuoyu", "Wang", email = "wzhuoyu21@u.nus,edu", role = "aut"),
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person("Jun Yang", "Liao", email = "name@example.com", role = "aut"),
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person("Joses W.", "Ho", email = "joseshowh@gmail.com", role = "aut",
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comment = c(ORCID = "0000-0002-9186-6322")),
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person("Tayfun", "Tumkaya", role = "aut",
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comment = c(ORCID = "0000-0001-8425-3360")),
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person("Felicia", "Low", role = "aut", email = "lowminhuifelicia@gmail.com"),
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person("Adam", "Claridge-Chang", role = "ctb",
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comment = c(ORCID = "0000-0002-4583-3650")),
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person("Hyungwon", "Choi", role = "ctb",
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comment = c(ORCID = "0000-0002-6687-3088")),
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person("Sangyu", "Xu", role = "ctb",
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comment = c(ORCID = "0000-0002-4927-9204")),
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person("ACCLAB", role = c("cph", "fnd")))
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Description: Data Analysis using Bootstrap-Coupled ESTimation.
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Estimation statistics is a simple framework that avoids the pitfalls of
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significance testing. It uses familiar statistical concepts: means,
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mean differences, and error bars. More importantly, it focuses on the
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effect size of one's experiment/intervention, as opposed to a false
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dichotomy engendered by P values.
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An estimation plot has two key features:
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1. It presents all datapoints as a swarmplot, which orders each point to
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display the underlying distribution.
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2. It presents the effect size as a bootstrap 95% confidence interval on a
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separate but aligned axes.
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Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105.
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<doi:10.1038/s41592-019-0470-3>.
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The free-to-view PDF is located at <https://rdcu.be/bHhJ4>.
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License: file LICENSE
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URL: https://github.com/ACCLAB/dabestr
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BugReports: https://github.com/ACCLAB/dabestr/issues
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Estimation statistics is a simple framework that avoids the pitfalls of
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significance testing. It uses familiar statistical concepts: means,
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mean differences, and error bars. More importantly, it focuses on the
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effect size of one's experiment/intervention, as opposed to a false
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dichotomy engendered by P values.
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An estimation plot has two key features:
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1. It presents all datapoints as a swarmplot, which orders each point to
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display the underlying distribution.
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2. It presents the effect size as a bootstrap 95% confidence interval on a
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separate but aligned axes.
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Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105.
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<doi:10.1038/s41592-019-0470-3>.
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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>.
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License: Apache License (>= 2)
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Encoding: UTF-8
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LazyData: true
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URL: https://github.com/ACCLAB/dabestr,
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https://acclab.github.io/dabestr/
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Depends:
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R (>= 3.5.0),
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magrittr,
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stats,
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utils
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Imports:
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boot,
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cowplot,
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dplyr,
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effsize,
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ellipsis,
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ggplot2 (>= 3.2),
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forcats,
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ggforce,
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ggbeeswarm,
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plyr,
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RColorBrewer,
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rlang,
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simpleboot,
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stringr,
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tibble,
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tidyr,
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RoxygenNote: 7.1.0
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Suggests:
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R (>= 2.10)
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Imports:
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ggplot2,
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cowplot,
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tidyr,
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dplyr,
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tibble,
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rlang,
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magrittr,
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ggbeeswarm,
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effsize,
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grid,
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scales,
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ggsci,
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cli,
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boot,
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stats,
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stringr,
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brunnermunzel,
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methods
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.2.3
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Suggests:
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testthat (>= 3.0.0),
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vdiffr,
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knitr,
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rmarkdown,
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tufte,
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testthat,
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vdiffr
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VignetteBuilder: knitr
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kableExtra
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Config/testthat/edition: 3
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LazyData: true
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VignetteBuilder: knitr, kableExtra

LICENSE

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