KruskalWallisTest function windowTitle() { if (location.href.indexOf('is-external=true') == -1) { parent.document.title="KruskalWallisTest"; } } Overview  Package   Class  Use  Tree  Deprecated  Index  Help   PREV CLASS   NEXT CLASS FRAMES    NO FRAMES     All Classes SUMMARY: NESTED | FIELD | CONSTR | METHOD DETAIL: FIELD | CONSTR | METHOD org.statcato.statistics.inferential.nonparametrics Class KruskalWallisTest java.lang.Object org.statcato.statistics.inferential.nonparametrics.KruskalWallisTest public class KruskalWallisTestextends java.lang.Object Kruskal-Wallis test. A nonparametic test that uses ranks of samples from three or more independent populations to to test the null hypothesis that the independent samples come from population with the same distribution. The independent samples are combined into one sample, are sorted in ascending order and are ranked based on its place in the one sample. The sum of the ranks corresponding to each of the samples are computed and is used in calculating the test statistics H. The Chi-square distribution is used for approximation. Since: 1.0 Version: %I%, %G% Author: Margaret Yau Field Summary  double significance           Significance of the test   Constructor Summary KruskalWallisTest(java.util.Vector<java.util.Vector<java.lang.Double>> data, double significance)           Constructor, given samples of data values.   Method Summary  void computeRankSum(java.util.Vector<java.util.Vector<java.lang.Double>> data)           Computes the sum of ranks for each sample.  double criticalValue()           Returns the one-tailed critical value.  int DOF()           Returns the degrees of freedom.  double pValue()           Returns the p-value.  double testStatistic()           Returns the test statistic H = 12 / [N(N+1)] Sum_i (R_i^2/n_i) - 3(N+1).  java.lang.String toString()               Methods inherited from class java.lang.Object clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait   Field Detail significance public double significance Significance of the test Constructor Detail KruskalWallisTest public KruskalWallisTest(java.util.Vector<java.util.Vector<java.lang.Double>> data, double significance) Constructor, given samples of data values. Parameters:data - a vector of vector of double values, with each vector of double values representing an independent samplesignificance - significance level (between 0 and 1) Method Detail testStatistic public double testStatistic() Returns the test statistic H = 12 / [N(N+1)] Sum_i (R_i^2/n_i) - 3(N+1). Returns:test statistic H DOF public int DOF() Returns the degrees of freedom. Returns:degrees of freedom pValue public double pValue() Returns the p-value. Returns:p-value criticalValue public double criticalValue() Returns the one-tailed critical value. Returns:critical value toString public java.lang.String toString() Overrides:toString in class java.lang.Object computeRankSum public void computeRankSum(java.util.Vector<java.util.Vector<java.lang.Double>> data) Computes the sum of ranks for each sample. Assigns the appropriate rank sum to the private array R[]. Ranks are computed after all samples are combined and sorted in ascending order. Parameters:data - vector of Double values Overview  Package   Class  Use  Tree  Deprecated  Index  Help   PREV CLASS   NEXT CLASS FRAMES    NO FRAMES     All Classes SUMMARY: NESTED | FIELD | CONSTR | METHOD DETAIL: FIELD | CONSTR | METHOD