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Timestamp:
03/21/13 13:26:16 (11 years ago)
Author:
ascheibe
Message:

#1886 calculate Cohen's D and Hedges' G for pairwise comparison and updated documentation

File:
1 edited

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  • branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers.Views/3.3/SampleSizeDetermination.cs

    r9328 r9329  
    4949    /// <returns>Cohen's d.
    5050    /// d = 0.2 means small effect
    51     /// d = 0.5 means average effect
     51    /// d = 0.5 means medium effect
    5252    /// d = 0.8 means big effect
    5353    /// According to Wikipedia this means: "A lower Cohen's d indicates a necessity of larger sample sizes, and vice versa."
    5454    /// </returns>
    55     public static double CohensD(double[] d1, double[] d2) {
     55    public static double CalculateCohensD(double[] d1, double[] d2) {
    5656      double x1, x2, s1, s2;
    5757
     
    6565
    6666    /// <summary>
    67     /// Calculates Hedges' g.
     67    /// Calculates Hedges' g.
     68    /// Hedges' g works like Cohen's d but corrects for bias.
    6869    /// </summary>
    6970    /// <returns>Hedges' g</returns>
    70     public static double HedgesG(double[] d1, double[] d2) {
     71    public static double CalculateHedgesG(double[] d1, double[] d2) {
    7172      double x1, x2, s1, s2, n1, n2, s, g, c;
    7273
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