Two Independent Sample Wilcoxon Test - Revision history

IvoDinov at 05:52, 19 January 2007

2007-01-19T05:52:27Z

Annie at 21:12, 31 July 2006

2006-07-31T21:12:23Z

Annie at 21:11, 31 July 2006

2006-07-31T21:11:05Z

New page

<pre>
/*

July 2006. Annie Che <chea@stat.ucla.edu>. UCLA Statistics.

Source of example data:
Mathematical Statistics and Data Analysis, John Rice, Second Edition.
Page 390, example A, determination of the laten heat of fusion of ice.

*/
package edu.ucla.stat.SOCR.analyses.example;

import java.util.HashMap;
import edu.ucla.stat.SOCR.analyses.data.Data;
import edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult;

public class TwoIndependentWilcoxonExample {
public static void main(String args[]) {

double[] methodA =
{79.98, 80.04, 80.02, 80.04, 80.03, 80.03,
80.04, 79.97, 80.05, 80.03, 80.02, 80.00, 80.02};

double[] methodB =
{80.02, 79.94, 79.98, 79.97, 79.97, 80.03, 79.95, 79.97};

// you'll need to instantiate a data instance first.
Data data = new Data();

// then use the following line to get the result.
try {
TwoIndependentWilcoxonResult result =
(TwoIndependentWilcoxonResult)data.modelTwoIndependentWilcoxon(methodA, methodB);

/* modelTwoIndependentWilcoxon:
order of first and second argumentd does NOT matter.*/

if (result != null) {

// Getting the model's parameter estiamtes and statistics.
double meanX = result.getMeanX();
double meanY = result.getMeanY();
System.out.println("meanX = " + meanX);
System.out.println("meanY = " + meanY);
double rankSumSmall = result.getRankSumSmallerGroup();
double rankSumLarge = result.getRankSumLargerGroup();
System.out.println("rankSumSmall = " + rankSumSmall);
System.out.println("rankSumLarge = " + rankSumLarge);
double uStatSmall = result.getUStatSmallerGroup();
double uStatLarge = result.getUStatLargerGroup();
System.out.println("uStatSmall = " + uStatSmall);
System.out.println("uStatLarge = " + uStatLarge);

double meanU = result.getMeanU();
double varU = result.getVarianceU();
System.out.println("meanU = " + meanU);
System.out.println("varU = " + varU);

double zScore = result.getZScore();
String pValue = result.getPValue();
boolean isLargeSample = result.isLargeSample();

System.out.println("zScore = " + zScore);
System.out.println("pValue = " + pValue);
System.out.println("isLargeSample = " + isLargeSample);

}
} catch (Exception e) {
System.out.println(e);
}
}
}
</pre>

← Older revision		Revision as of 05:52, 19 January 2007
Line 72:		Line 72:
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	</pre>		</pre>
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		+	{{translate\|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=Two_Independent_Sample_Wilcoxon_Test}}

@@ Line 19: / Line 19: @@
 	public static void main(String args[]) {
-		double[] methodA =
+		double[] a =
                  {79.98, 80.04, 80.02, 80.04, 80.03, 80.03,
 .04, 79.97, 80.05, 80.03, 80.02, 80.00, 80.02};
-		double[] methodB =
+		double[] b =
                  {80.02, 79.94, 79.98, 79.97, 79.97, 80.03, 79.95, 79.97};
@@ Line 33: / Line 33: @@
 		try {
 			TwoIndependentWilcoxonResult result =
-                         (TwoIndependentWilcoxonResult)data.modelTwoIndependentWilcoxon(methodA, methodB);
+                         (TwoIndependentWilcoxonResult)data.modelTwoIndependentWilcoxon(a,b);
-−
-			/* modelTwoIndependentWilcoxon:
+                         if (result != null) {
-                        order of first and second argumentd does NOT matter.*/
+		                // Getting the model's parameter estiamtes and statistics.
 				double meanX = result.getMeanX();
 				double meanY = result.getMeanY();