ocmath_basic_summary_stats

1 Description
2 Syntax
3 Parameters
4 Return
5 Examples
6 Remark
7 See Also
8 header to Include
9 Reference

Description

Function to compute basic descriptive statistics from raw data, like Total Number, Mean, Standard Deviation, Skewness, etc.

Syntax

OCMATH_API int ocmath_basic_summary_stats(UINT nSize, const double *pData, int* pN, double* pMean, double* pSD = NULL, double* pSE = NULL, 
                                        double* pVariance = NULL,  double* pSum = NULL, double* pSkewness = NULL, double* pKurtosis = NULL, 
                                        double* pUSS = NULL, double* pCSS = NULL, double* pCOV = NULL, double* pMAD = NULL, int* pMissing = NULL, 
                                        double* pWeightSum = NULL, double* pGMean = NULL, int MomentDenFlag = DS_SAS1_DOF, const double *pWt = NULL)

Parameters

nSize: [input] Size of raw data array
pData: [input] Pointer to raw data array
pN: [output] Total number of data points, denoted by n
pMean: [output] The mean (average )score
pSD: [output] Standard deviation
pSE: [output] Standard error of mean
pVariance: [output] Variance
pSum: [output] Sum of pData with Weight
pSkewness: [output] Skewness. Skewness measures the degree of asymmetry of a distribution.
pKurtosis: [output] Kurtosis. Kurtosis depicts the degree of peakedness of a distribution.
pUSS: [output] Uncorrected Sum of Squares
pCSS: [output] Corrected Sum of Squares
pCOV: [output] Coefficient of Variance
pMAD: [output] Mean Absolute Deviation
pMissing: [output] Number of missing values
pWeightSum: [output] Sum of Weights
pGMean: [output] Geometric Mean. Weights are ignored for the geometric mean
MomentDenFlag: [input] Variance Divisor of Moment. This option decides the method to compute variance divisor d. You can use one of the following options: DS_SAS1_DOF, DS_SAS2_N, DS_SAS3_WDF, DS_SAS4_WGT and DS_NAG. They will compute d as degree of freedom, number of non-missing observations, degree of Sum of weights, sum of weights and WVR, respectively
pWt: [input] Pointer to Weights

Return

Return STATS_NO_ERROR (0) on success. Otherwise returns error.

Examples

EX1

//This example is to calculate the Total number, Mean and Standard Deviation.
void ocmath_basic_summary_stats_ex1()
{
        vector vData={3,2,1,4,2,5,4,6,9};
        int nSize = vData.GetSize();
        int nN;
        double dMean, dSD;
        int nRet = ocmath_basic_summary_stats(nSize, vData, &nN, &dMean, &dSD);
        if(0 == nRet)
        {
                out_double("Mean = ",dMean);
                out_double("SD = ",dSD);
        }
}

EX2

//This example is to calculate Skewness and Kurtosis.
void ocmath_basic_summary_stats_ex2()
{
        vector vData={3.1,3.2,4.1,4.2,5.4,6.9};
        int nSize = vData.GetSize();
        double dSkewness, dKurtosis;
        int nRet = ocmath_basic_summary_stats(nSize, vData, NULL, NULL , NULL, NULL , NULL, NULL , &dSkewness, &dKurtosis);
        if(0 == nRet)
        {
                out_double("Skewness = ",dSkewness);
                out_double("Kurtosis = ",dKurtosis);
        }
}