Table 2.
Classical ANOVA of log intensities for duplicated A-loop design component of Figure 2 on ID_REF #30 from Zou et al. (2005) using output from SAS PROC MIXED (code in Figure 3).
| Type 3 analysis of variance | ||||||||
|---|---|---|---|---|---|---|---|---|
| Source | DF† | Sum of squares | Mean square | Expected mean square | Error term | Error DF | F value | Pr > F‡ |
| Trt | 2 | 0.7123 | 0.3561 | Var(Residual) + 1.5 Var(sample(inoc*time)) + Q(inoc,inoc*time) | MS(sample(inoc*time)) | 6 | 3.13 | 0.1172 |
| Time | 2 | 3.7737 | 1.8868 | Var(Residual) + 2 Var(sample(inoc*time)) + 2Var(array(time)) + Q(time,inoc*time) | 1.3333 MS(array(time)) + 1.3333 MS(sample(inoc*time)) − 1.6667 MS(Residual) | 13.969 | 3.27 | 0.0683 |
| Inoc*time | 4 | 0.6294 | 0.1573 | Var(Residual) + 1.5 Var(sample(inoc*time)) + Q(inoc*time) | MS(sample(inoc*time)) | 6 | 1.38 | 0.3435 |
| Dye | 1 | 0.0744 | 0.0744 | Var(Residual) + Q(dye) | MS(Residual) | 5 | 2.19 | 0.1989 |
| Rep(inoc*time) | 6 | 0.6826 | 0.1137 | Var(Residual) + 1.5 Var(sample(inoc*time)) | MS(Residual) | 5 | 3.35 | 0.1030 |
| Array(time) | 12 | 4.3330 | 0.3610 | Var(Residual) + 1.5 Var(array(time)) | MS(Residual) | 5 | 10.63 | 0.0085 |
| Residual | 5 | 0.1699 | 0.0339 | Var(Residual) | . | . | . | . |
†Degrees of freedom.
‡ P-value.