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Update README.md #1

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22 changes: 22 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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

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