diff --git a/README.md b/README.md index 1ed2e90..33b5525 100644 --- a/README.md +++ b/README.md @@ -59,6 +59,28 @@ Based on the characteristics of the input data, the `vvdoctor` app uses the foll This flowchart illustrates the process of selecting a statistical test based on the class of independent/dependent variables, whether the test is paired or unpaired, and whether the data is normally distributed. +## Overview of Implemented Statistical Test + +The table below serves as a reference for understanding the logic behind the app's functionality, +showcasing how different statistical tests are executed through various R packages and functions. + +| Statistical Test Name | R Package | R Function (from the package) | +|------------------------------------------------------------|------------|---------------------------------| +| Sign Test | DescTools | SignTest() | +| Wilcoxon Signed Rank Test | stats | wilcox.test() | +| Mann-Whitney U Test | stats | wilcox.test() | +| Kruskal-Wallis Test | stats | kruskal.test() | +| One Sample t-test | stats | t.test() | +| Paired t-test | stats | t.test() | +| Independent Samples t-test | stats | t.test() | +| Repeated Measures ANOVA | ez | ezANOVA() | +| One-way ANOVA | stats | aov() | +| Chi-Square Goodness-of-Fit and Binomial Test | stats | chisq.test() | +| McNemar's Test | exact2x2 | exact2x2() | +| Chi-Square Test for Independence and Fisher's Exact Test | stats | chisq.test() | +| Bhapkar's Test | irr | bhapkar() | + + ## Example