Computes ordinal, statistics and effect sizes as an alternative to mean comparison: Cliff's delta or success rate difference (SRD), Vargha and Delaney's A or the Area Under a Receiver Operating Characteristic Curve (AUC), the discrete type of McGraw & Wong's Common Language Effect Size (CLES) or Grissom & Kim's Probability of Superiority (PS), and the Number needed to treat (NNT) effect size. Moreover, comparisons to Cohen's d are offered based on Huberty & Lowman's Percentage of Group (Non-)Overlap considerations.
|Author||Jens J. Rogmann, University of Hamburg, Department of Psychology, Germany|
|Date of publication||2013-02-07 10:00:29|
|Maintainer||Jens J. Rogmann <Jens.Rogmann@uni-hamburg.de>|
cohd2delta: Cohen's d to Cliff's delta
delta2cohd: Cliff's delta to Cohen's d
delta_gr: Cliff's delta Graphics and Interpretation
dm: Dominance or Difference Matrix Creation
dmes: Dominance Matrix Effect Sizes
dmes.boot: Dominance Matrix Effect Sizes
dms: Dominance Matrix in Symbols
metric_t: Metric t-test parameters matrix
orddom: Ordinal Dominance Statistics
orddom_f: Ordinal Dominance Statistics: File output of statistics for...
orddom_p: Ordinal Dominance Matrices and Statistics: Printer-friendly...
orddom-package: Ordinal Dominance Statistics
return1colmatrix: Convert vectors, data frames, lists, or arrays to 1-column...
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