G-star-Power is a widely-used software suite for conducting power analysis across a variety of statistical tests. While R packages exist for power analysis, they often lack the ease of use and graphical interface that G-star-Power offers.

Your task is to develop a new version of this software using R and the Shiny library. Shiny enables the creation of rich, interactive, and dynamic web applications directly in R. Given that G*Power is freely available, you are encouraged to download it and familiarize yourself with its features: https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower Shiny is also available at no cost, and you can learn more about it here: https://shiny.rstudio.com/

Suggested final-project direction: build a Shiny app that performs power analysis for at least these tests: * binomial test * t-tests for comparing means * chi-square tests * t-tests for correlation

You are welcome to expand the app’s functionality by incorporating additional tests. The app must be interactive, allowing users to select a test and input their data through a graphical user interface. It should provide both textual and graphical outputs (e.g., plots).

If you choose this as your final project idea, make sure your submission still meets the minimum statistical content requirements (see the Final project page).