Returns the statistics associated with this table.
A double
matrix of size 23 * 5 containing statistics associated with this table.
Each row corresponds to a statistic.
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:
Column | Value |
---|---|
0 | estimated statistic |
1 | standard error for any parameter value |
2 | standard error under the null hypothesis |
3 | t value for testing the null hypothesis |
4 | p-value of the test in column 3 |
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.
ContingencyTable Class | Imsl.Stat Namespace