C# (CSharp) Accord.Statistics.Testing.Power TwoSampleZTestPowerAnalysis.ComputeEffect Examples

ComputeEffect() public method

Computes the minimum detectable effect size for the test considering the power given in IPowerAnalysis.Power, the number of samples in IPowerAnalysis.Samples and the significance level IPowerAnalysis.Size.

public ComputeEffect ( ) : void
return	void

Example #1

        /// <summary>
        ///   Estimates the number of samples necessary to attain the
        ///   required power level for the given effect size.
        /// </summary>
        ///
        /// <param name="sampleSize1">The number of observations in the first sample.</param>
        /// <param name="sampleSize2">The number of observations in the second sample.</param>
        /// <param name="power">The desired power level. Default is 0.8.</param>
        /// <param name="alpha">The desired significance level. Default is 0.05.</param>
        /// <param name="hypothesis">The alternative hypothesis (research hypothesis) to be tested.</param>
        ///
        /// <returns>The required number of samples.</returns>
        ///
        public static TwoSampleZTestPowerAnalysis GetEffectSize(int sampleSize1, int sampleSize2,
                                                                double power = 0.8, double alpha = 0.05,
                                                                TwoSampleHypothesis hypothesis = TwoSampleHypothesis.ValuesAreDifferent)
        {
            var analysis = new TwoSampleZTestPowerAnalysis(hypothesis)
            {
                Samples1 = sampleSize1,
                Samples2 = sampleSize2,
                Size     = alpha,
                Power    = power,
            };

            analysis.ComputeEffect();

            return(analysis);
        }

Example #2

File: TwoSampleZTestPowerAnalysis.cs Project: KommuSoft/accord_framework

        /// <summary>
        ///   Estimates the number of samples necessary to attain the
        ///   required power level for the given effect size.
        /// </summary>
        /// 
        /// <param name="sampleSize1">The number of observations in the first sample.</param>
        /// <param name="sampleSize2">The number of observations in the second sample.</param>
        /// <param name="power">The desired power level. Default is 0.8.</param>
        /// <param name="alpha">The desired significance level. Default is 0.05.</param>
        /// <param name="hypothesis">The alternative hypothesis (research hypothesis) to be tested.</param>
        /// 
        /// <returns>The required number of samples.</returns>
        /// 
        public static TwoSampleZTestPowerAnalysis GetEffectSize(int sampleSize1, int sampleSize2,
            double power = 0.8, double alpha = 0.05,
            TwoSampleHypothesis hypothesis = TwoSampleHypothesis.ValuesAreDifferent)
        {
            var analysis = new TwoSampleZTestPowerAnalysis(hypothesis)
            {
                Samples1 = sampleSize1,
                Samples2 = sampleSize2,
                Size = alpha,
                Power = power,
            };

            analysis.ComputeEffect();

            return analysis;
        }