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https://github.com/jake-westfall/two_factor_power
R code for the Shiny app that accompanies the Annual Review paper by Judd, Westfall, & Kenny (2016)
https://github.com/jake-westfall/two_factor_power
Last synced: 23 days ago
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R code for the Shiny app that accompanies the Annual Review paper by Judd, Westfall, & Kenny (2016)
- Host: GitHub
- URL: https://github.com/jake-westfall/two_factor_power
- Owner: jake-westfall
- License: mit
- Created: 2016-06-28T18:41:36.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-01-20T00:22:50.000Z (almost 8 years ago)
- Last Synced: 2024-10-16T02:13:50.061Z (2 months ago)
- Language: R
- Size: 6.84 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
This page hosts the R code underlying the power analysis app distributed with the following paper:
[Judd, C. M., Westfall, J., & Kenny, D. A. (2016). Experiments with more than one random factor: Designs, analytic models, and statistical power. Annual Review of Psychology.](http://jakewestfall.org/publications/JWK_AnnRev.pdf)
A live version of the app can be found [here](http://jakewestfall.org/two_factor_power/).
This code relies on the [Shiny](http://shiny.rstudio.com/) library. To run the app locally, you will need to download the R script files, install the Shiny library, and point Shiny to the R scripts. A nice tutorial can be found [here](http://shiny.rstudio.com/tutorial/lesson1/).