h = kstest2(x1, x2)
h = kstest2(x1, x2, 'Alpha', alpha)
h = kstest2(x1, x2, 'Tail', tail)
[h, p, ks2stat] = kstest2(...)
| Parameter | Description |
|---|---|
| x1 | real vector: first sample. |
| x2 | real vector: second sample. |
| alpha | scalar in (0,1), 0.05 by default: significance level. |
| tail | 'unequal', 'larger', or 'smaller'. |
| Parameter | Description |
|---|---|
| h | logical scalar: test decision. |
| p | asymptotic p-value. |
| ks2stat | two-sample test statistic. |
kstest2 compares the empirical distributions of two sample vectors.
NaN sample values are omitted independently before sorting and computing the empirical distributions.
x1 = [1 2 3 4 5];
x2 = [2 3 4 6 8 10];
[h, p, ks2stat] = kstest2(x1, x2);
[h2, p2] = kstest2(x1, x2, 'Tail', 'larger');| Version | Description |
|---|---|
| 2.0.0 | initial version |