Multivariate general linear analysis of Kyoho skin, seed and flesh extracts§
| Test . | Value . | F- value . | Hypothesis df . | Error df . | P-value . |
|---|---|---|---|---|---|
| Pillai’s Trace (P) | 1.99 | 169.78 | 12 | 4 | <0.0001 |
| Wilks’ Lambda (Λ) | 0.02 × 10-4 | 111.46† | 12 | 2 | <0.01 |
| Hotelling–Lawley Trace (H) | 1756.07 | 0 | 12 | 0 | <0.01 |
| Roy’s Largest Root (R) | 1447.32 | 482.44‡ | 6 | 2 | <0.01 |
| Test . | Value . | F- value . | Hypothesis df . | Error df . | P-value . |
|---|---|---|---|---|---|
| Pillai’s Trace (P) | 1.99 | 169.78 | 12 | 4 | <0.0001 |
| Wilks’ Lambda (Λ) | 0.02 × 10-4 | 111.46† | 12 | 2 | <0.01 |
| Hotelling–Lawley Trace (H) | 1756.07 | 0 | 12 | 0 | <0.01 |
| Roy’s Largest Root (R) | 1447.32 | 482.44‡ | 6 | 2 | <0.01 |
†Exact statistic.
‡The statistic is an upper bound of F that yields a lower bound on the significance level.
§df is degree of freedom.
Multivariate general linear analysis of Kyoho skin, seed and flesh extracts§
| Test . | Value . | F- value . | Hypothesis df . | Error df . | P-value . |
|---|---|---|---|---|---|
| Pillai’s Trace (P) | 1.99 | 169.78 | 12 | 4 | <0.0001 |
| Wilks’ Lambda (Λ) | 0.02 × 10-4 | 111.46† | 12 | 2 | <0.01 |
| Hotelling–Lawley Trace (H) | 1756.07 | 0 | 12 | 0 | <0.01 |
| Roy’s Largest Root (R) | 1447.32 | 482.44‡ | 6 | 2 | <0.01 |
| Test . | Value . | F- value . | Hypothesis df . | Error df . | P-value . |
|---|---|---|---|---|---|
| Pillai’s Trace (P) | 1.99 | 169.78 | 12 | 4 | <0.0001 |
| Wilks’ Lambda (Λ) | 0.02 × 10-4 | 111.46† | 12 | 2 | <0.01 |
| Hotelling–Lawley Trace (H) | 1756.07 | 0 | 12 | 0 | <0.01 |
| Roy’s Largest Root (R) | 1447.32 | 482.44‡ | 6 | 2 | <0.01 |
†Exact statistic.
‡The statistic is an upper bound of F that yields a lower bound on the significance level.
§df is degree of freedom.
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