Package DistLib

Class tukey


  • public class tukey
    extends java.lang.Object
    Distribution of the maximum of rr studentized ranges, each based on cc means and with df degrees of freedom for the standard error, is less than q.

    The algorithm is based on: Copenhaver, Margaret Diponzio & Holland, Burt S. Multiple comparisons of simple effects in the two-way analysis of variance with fixed effects. Journal of Statistical Computation and Simulation, Vol.30, pp.1-15, 1988.

    • Constructor Summary

      Constructors 
      Constructor Description
      tukey()  
    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static double cumulative​(double q, double rr, double cc, double df)  
      static double quantile​(double p, double rr, double cc, double df)
      Computes the quantiles of the maximum of rr studentized ranges, each based on cc means and with df degrees of freedom for the standard error, is less than q.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • tukey

        public tukey()
    • Method Detail

      • cumulative

        public static double cumulative​(double q,
                                        double rr,
                                        double cc,
                                        double df)
      • quantile

        public static double quantile​(double p,
                                      double rr,
                                      double cc,
                                      double df)
        Computes the quantiles of the maximum of rr studentized ranges, each based on cc means and with df degrees of freedom for the standard error, is less than q. The algorithm is based on: Copenhaver, Margaret Diponzio & Holland, Burt S. Multiple comparisons of simple effects in the two-way analysis of variance with fixed effects. Journal of Statistical Computation and Simulation, Vol.30, pp.1-15, 1988. Uses the secant method to find critical values. If the difference between successive iterates is less than eps, the search is terminated and an exception thrown.
        Parameters:
        p - confidence level (1 - alpha)
        rr - no. of rows or groups
        cc - no. of columns or treatments
        df - degrees of freedom of error term
        Returns:
        critical value