public double[,] GetStatistics()

Public Function GetStatistics As Double(,)

public:
array<double,2>^ GetStatistics()

member GetStatistics : unit -> float[,] 

Return Value

Row	Statistics
0	gamma
1	Kendall's
2	Stuart's
3	Somers' D for rows (given columns)
4	Somers' D for columns (given rows)
5	product moment correlation
6	Spearman rank correlation
7	Goodman and Kruskal for rows (given columns)
8	Goodman and Kruskal for columns (given rows)
9	uncertainty coefficient U (symmetric)
10	uncertainty (rows)
11	uncertainty (columns)
12	optimal prediction (symmetric)
13	optimal prediction (rows)
14	optimal prediction (columns)
15	optimal prediction (rows)
16	optimal prediction (columns)
17	Test for linear trend in row probabilities if table.GetLength(0) = 2. Test for linear trend in column probabilities if table.GetLength(1) = 2 and table.GetLength(0) is not 2
18	Kruskal-Wallis test for no row effect
19	Kruskal-Wallis test for no column effect
20	kappa (square tables only)
21	McNemar test of symmetry (square tables only)
22	McNemar one degree of freedom test of symmetry (square tables only)

The columns are as follows:

If a statistic cannot be computed, or if some value is not relevant for the computed statistic, the entry is NaN (Not a Number).

In the McNemar tests, column 0 contains the statistic, column 1 contains the chi-squared degrees of freedom, column 3 contains the exact p-value (1 degree of freedom only), and column 4 contains the chi-squared asymptotic p-value. The Kruskal-Wallis test is the same except no exact p-value is computed.

Reference