Multiple Independent Sample Kruskal Wallis Test - Revision history

Tdlee: Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

2020-03-03T20:06:44Z

Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

IvoDinov at 15:48, 22 January 2007

2007-01-22T15:48:30Z

Annie at 00:50, 22 January 2007

2007-01-22T00:50:03Z

Annie at 00:49, 22 January 2007

2007-01-22T00:49:45Z

Annie at 00:49, 22 January 2007

2007-01-22T00:49:19Z

Annie at 00:48, 22 January 2007

2007-01-22T00:48:13Z

New page

/*

january 2007. Annie Che <chea@stat.ucla.edu>. UCLA Statistics.

Source of example data:
Conover, W. J. Practical nonparametric statistics.

*/
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.data.DataType;
import edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult;
import edu.ucla.stat.SOCR.analyses.model.AnalysisType;

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

double[] xA = {83, 91, 94, 89, 89, 96, 91, 92, 90};
double[] xB = {91, 90, 81, 83, 84, 83, 88, 91, 89, 84};
double[] xC = {101, 100, 91, 93, 96, 95, 94};
double[] xD = {78, 82, 81, 77, 79, 81, 80, 81};

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

/* dump all the columns you need to the data object using 'data.appendX' comment.
dump as many as you'd like.
but duplicate append will cause problem, so DO NOT append the same column more than once please.
*/
data.appendX("Column_A", xA, DataType.QUANTITATIVE);
data.appendX("Column_B", xB, DataType.QUANTITATIVE);
data.appendX("Column_C", xC, DataType.QUANTITATIVE);
data.appendX("Column_D", xD, DataType.QUANTITATIVE);

// then use the following line to get the result.
try {
TwoIndependentKruskalWallisResult result = (TwoIndependentKruskalWallisResult)data.getAnalysis(AnalysisType.TWO_INDEPENDENT_KRUSKAL_WALLIS);

if (result != null) {
// Getting the model's parameter estiamtes, summary, and statistics.
String[] groupNames = result.getGroupNameList();
double[] rankSum = result.getRankSumList();
String tStat = result.getTStat();
String s2 = result.getSSqaured(); // i.e. s * s
String cp = result.getCriticalValue();;
String dataAndRankString = result.getDataRankInformation();;
int[] groupCount = result.getGroupCount();;
String df = result.getDegreesOfFreedom();;
String[] multipleComparisonInfo = result.getMultipleComparisonInformation();;
String multipleComparisonHeader = result.getMultipleComparisonHeader();;

System.out.println("\n\nSIGNIFICANCE LEVEL = 0.05");
System.out.println("\nDEGREES OF FREEDOM = " + df);
System.out.println("\nCRITICAL VALUE = " + cp);
System.out.println("\nT-STAITISTIC = " + tStat);
System.out.println("\nS * S = " + s2);
System.out.println("\n\nNotation: Ri -- Rank of group i; ni -- size of group i.\n");

System.out.println("\n" + multipleComparisonHeader + "\n");
for (int i = 0; i <multipleComparisonInfo.length; i++) {
if (multipleComparisonInfo[i] != null)
System.out.println("\n"+multipleComparisonInfo[i] );
}

}
} catch (Exception e) {
System.out.println(e);
}
}
}

← Older revision		Revision as of 20:06, 3 March 2020
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← Older revision		Revision as of 15:48, 22 January 2007
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	}		}
	</pre>		</pre>
		+
		+
		+	{{translate\|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=Multiple_Independent_Sample_Kruskal_Wallis_Test}}

@@ Line 6: / Line 6: @@
 Source of example data:
 Conover, W. J. Practical nonparametric statistics.
-In our code, we use the exact method while the Conover book use approximation. The calculation formula are adapted from this reference.
+In our code, we use the exact method while the Conover book uses approximation.
 */

@@ Line 1: / Line 1: @@
 /*
@@ Line 5: / Line 6: @@
 Source of example data:
 Conover, W. J. Practical nonparametric statistics.
 */
@@ Line 73: / Line 75: @@
+	}
+}

@@ Line 32: / Line 32: @@
 		/* dump all the columns you need to the data object using 'data.appendX' comment.
 		 dump as many as you'd like.
-		 but duplicate append will cause problem, so DO NOT append the same column more than once please.
+		 but duplicate append will cause problem, so DO NOT append the same column more than once, please.
 		*/
 		data.appendX("Column_A", xA, DataType.QUANTITATIVE);