*** Warning! This Shiny App has not been validated enough! There is no warranty for the app! ***
The link to Shiny App - https://puneet-talwar.shinyapps.io/PosthocPowerShiny/
Linear Multiple Regression: Power & Sensitivity Analysis
-This app replicates and extends G*Power for post-hoc power and sensitivity analysis in linear multiple regression.
Inputs
-Sample size (N): Number of participants (must be > k + 1).
-Total predictors (k): Total predictors in the model.
-Tested predictors (u): Predictors of interest being tested (k for the full model)).
-Significance level (alpha): Type I error probability.
-Confidence level: Confidence interval for effect sizes.
-Analysis type: Choose between Target Power Analysis or Observed R² Analysis.
-Run Analysis: Press the button to compute results.
Outputs
-Numerical Results: Displays effect sizes (f, f², R², r, d) with confidence intervals.
-Power Curve: Shows power vs effect size (f²).
-Nomogram: Shows power curves across different sample sizes.
How to Use
-For sensitivity analysis: Enter N, k, u, alpha, and target power.
-For post-hoc analysis: Check 'Use observed R² or f², enter R² or f².
-Click 'Run Analysis'.
-Interpret results and plots for your study context.
Notes
-Ensure N > k + 1.
-Power curve assumes 1 tested predictor (u = 1).
-Confidence intervals are based on non-central F distributions.
-Use this app for replication of G*Power analyses in R, with added confidence interval reporting.-