DAgostinosKsquaredTest (MIPAV API Documentation)

java.lang.Object
- gov.nih.mipav.model.algorithms.DAgostinosKsquaredTest

```
public class DAgostinosKsquaredTest
extends java.lang.Object
```
This code calculates the Ksquared statistic of an input array x[]. KSquared = Z1(g1)**2 + Z2(g2)**2 If the null hypothesis of normality is true, then Ksquared is approximately chiSquared distributed with 2 degrees of freedom Expected value Standard deviation 95% quantile n = 20 1.971 2.339 6.373 n = 50 2.017 2.308 6.339 n = 100 2.026 2.267 6.271 n = 250 2.012 2.174 6.129 n = 500 2.009 2.113 6.063 n = 1000 2.000 2.062 6.038 chSquared(2) 2.000 2.000 5.991 distribution

A typical usage would be:
```
 double result[] = new double[1];
 DAgostinosKsquaredTest dkt = new DAgostinosKsquaredTest(x, result);
 dkt.run();
```

- Field Summary
  
  Fields
  Modifier and Type Field Description
  
  private double[] result
  output result
  
  private double[] x
- Constructor Summary
  
  Constructors
  Constructor Description
  
  DAgostinosKsquaredTest()
  
  DAgostinosKsquaredTest(double[] x, double[] result)
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  void run()
  
  void selfTest()
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

x
```
private double[] x
```

result
```
private double[] result
```
output result

Constructor Detail
- DAgostinosKsquaredTest
```
public DAgostinosKsquaredTest()
```
- DAgostinosKsquaredTest
```
public DAgostinosKsquaredTest(double[] x,
                              double[] result)
```
  Parameters:
  
  x - Input argument
  
  result - outputted Ksquared test value of x

Method Detail

run
```
public void run()
```

selfTest
```
public void selfTest()
```