Statistical Analysis by using R for Java Applications
- Noparametric Tests
- Kruskal-Wallis
- Post-Hoc Tests
- Nemenyi
- Effect Size
- Vargha and Delaney A measure
- Works on Java 1.8
This project uses GitHub as a Maven Repository. Then you have just add the following section to your repositories tag in pom.xml
<repository>
<id>mvn-repo</id>
<url>https://github.com/thiagodnf/mvn-repo/raw/master/releases</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
Then add a dependency into tag of your pom.xml
<dependency>
<groupId>thiagodnf.sar4j</groupId>
<artifactId>sar4j</artifactId>
<version>1.0.0</version>
</dependency>
List<Observation> observations = new ArrayList<>();
observations.add(new Observation("A", Arrays.asList(0.285, 0.338, 0.088, 0.205, 0.363)));
observations.add(new Observation("B", Arrays.asList(0.521, 0.763, 0.325, 0.425, 0.378)));
observations.add(new Observation("C", Arrays.asList(0.989, 1.192, 0.788, 0.549, 0.544)));
observations.add(new Observation("D", Arrays.asList(1.267, 1.625, 1.266, 1.154, 1.268)));
KruskalWallisTest kruskal = new KruskalWallisTest();
TestResult testResult = kruskal.test(observations);
System.out.println(testResult);
The output will be:
{
"chiSquared": 10.58,
"df": 2.0,
"pValue": 0.00504176,
"postHocResult": {
"rows": ["B", "C"],
"columns": ["A", "B"],
"values": [0.234479781329244, 0.00327823491935975, NaN, 0.234479781329244],
"dimensions": [2, 2]
}
}
Feel free to fork this project, work on it and then make a pull request.
Feel free to create issues here as you need