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vvdoctor: Statistical Test App with R 'shiny'

Provides a user-friendly R 'shiny' app for performing various statistical tests on datasets. It allows users to upload data in numerous formats and perform statistical analyses. The app dynamically adapts its options based on the selected columns and supports both single and multiple column comparisons. The app's user interface is designed to streamline the process of selecting datasets, columns, and test options, making it easy for users to explore and interpret their data. The underlying functions for statistical tests are well-organized and can be used independently within other R scripts.

Version: 0.0.1
Imports: datamods, DescTools, DT, exact2x2, irr, magrittr, rintrojs, rstatix, shiny, shinyjs, shinyWidgets
Published: 2024-04-27
Author: Tomer Iwan [aut, cre], Corneel Den Hartogh ORCID iD [ctb], Jesús Blanco [ctb], VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan at vu.nl>
License: MIT + file LICENSE
URL: https://github.com/vusaverse/vvdoctor, https://vusaverse.github.io/vvdoctor/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: vvdoctor results

Documentation:

Reference manual: vvdoctor.pdf

Downloads:

Package source: vvdoctor_0.0.1.tar.gz
Windows binaries: r-devel: vvdoctor_0.0.1.zip, r-release: vvdoctor_0.0.1.zip, r-oldrel: vvdoctor_0.0.1.zip
macOS binaries: r-release (arm64): vvdoctor_0.0.1.tgz, r-oldrel (arm64): vvdoctor_0.0.1.tgz, r-release (x86_64): vvdoctor_0.0.1.tgz, r-oldrel (x86_64): vvdoctor_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vvdoctor to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.