https://github.com/lakens/justifyalpha

Functions to justify your alpha
https://github.com/lakens/justifyalpha

Last synced: 19 days ago
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Functions to justify your alpha

• Host: GitHub
• URL: https://github.com/lakens/justifyalpha
• Owner: Lakens
• License: other
• Created: 2019-05-15T16:30:17.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-05-31T09:10:54.000Z (5 months ago)
• Last Synced: 2024-06-28T19:25:59.804Z (4 months ago)
• Language: HTML
• Size: 894 KB
• Stars: 4
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
# R Package accompanying "Justify Your Alpha: A Primer on Two Practical Approaches"

The goal of JustifyAlpha is to provide ways for researchers to justify their alpha level when designing studies. Two approaches are currently implemented. The first function *optimal_alpha* allows users to computed balanced or minimized Type 1 and Type 2 error rates. The second approach uses the function *ttestEvidence* or *ftestEvidence* to lower the alpha level as a function of the sample size to prevent Lindley's paradox.

## Installation

You can install the released version of JustifyAlpha from [GitHub](https://github.com/Lakens/JustifyAlpha) with:

``` r

devtools::install_github("Lakens/JustifyAlpha")

```

# Preprint

A preprint explaining how to use this package and the Shiny app is available from here: 

# Vignette

A vignette explaining how to use this package and the Shiny app is available from here: https://lakens.github.io/JustifyAlpha/articles/intro_to_justifieR.html

# Shiny App

You can run the shiny app locally, but an online version is available from https://shiny.ieis.tue.nl/JustifyAlpha/ and https://maxma1er.shinyapps.io/JustifyAlpha/.