Table 3.
ANOVA and variance components for I dataa
| Expt no. | Variation source | SS | d.f. | MS | F | P | Explanation of variance (%) |
|---|---|---|---|---|---|---|---|
| 1 | tx | 0.952 | 3 | 0.317 | 2.322 | 0.254 | 13.54 ± 0.39 |
| Ne | 1.418 | 1 | 1.418 | 10.377 | 0.049 | 29.58 ± 1.04 | |
| Ne×tx | 0.410 | 3 | 0.137 | 6.139 | 0.001 | 23.05 ± 0.33 | |
| Error | 1.246 | 56 | 0.022 | 33.82 ± 0.03 | |||
| 2 | Ne | 1.143 | 9 | 0.127 | 3.713 | 0.003 | 33.41 ± 0.26 |
| Error | 1.128 | 33 | 0.034 | 66.59 ± 0.13 |
Two-way analysis of variance (ANOVA) on the data from the experiments measuring the proportion of infected cells in systemically infected tissue when both tx and Ne were varied (experiment 1; see Fig. 6), and the proportion of infected cells in the systemically infected tissue when only Ne was varied (experiment 2; see Fig. 7). SS, sum of squares; d.f., degrees of freedom; MS, mean square. Explanation of variance is the percentage of variance explained by the model, which was estimated by a maximum likelihood-based variance components analysis in SPSS, and the asymptotic covariance is given as an indication of estimate error.