Changes for version 0.10 - 2015-02-14

  • main anova() method now returns a hash of its results (f-value, p-value, etc.) if called in list context; otherwise (as usual) the class object itself.
  • eta- and omega-squared methods now actually perform the anova, and so accept the same named args as anova()
  • Jonkheere-Terpstra, Friedman and Page methods are now sub-modules, depending on Statistics::Data::Rank.
  • Statistics::Data used as base.
  • Statistics::Lite now relied on for basic descriptive stats.
  • removed cluster() method as "feature-creep," and because it was never properly documented - a module for cluster-by-ANOVA is being written
  • an index array of invalid values is no longer cached upon load() or add(); invalid values are determined on each get of data for any test.


Parametric and nonparametric 1-way analyses of variance for means-comparison and clustering per differences/trends over independent or repeated measures of variables or levels
Comparison procedures for ANOVA