Download ASReml User Guide - VSN International
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15 Examples 277 Given the large difference (p < 0.001) between tmt means we may wish to allow for heterogeneity of variance associated with tmt. Thus we fit a separate variety variance for each level of tmt so that instead of assuming var (u2 ) = σ22 I 88 we assume " # 2 σ2c 0 var (u2 ) = ⊗ I 44 2 0 σ2t 2 and σ 2 are the tmt.variety interaction variances for control and where σ2c 2t treated respectively. This model can be achieved using a diagonal variance structure for the treatment part of the interaction. We also fit a separate run variance for each level of tmt and heterogeneity at the residual level, by including the uni(tmt,2) term. We have chosen level 2 of tmt as we expect more variation for the exposed treatment and thus the extra variance component for this term should be positive. Had we mistakenly specified level 1 then ASReml would have estimated a negative component by setting the !GU option for this term. The portion of the ASReml output for this analysis is 6 7 8 9 LogL=-343.428 LogL=-343.234 LogL=-343.228 LogL=-343.228 Source variety run pair uni(tmt,2) Variance tmt.variety tmt.variety tmt.run tmt.run S2= S2= S2= S2= 1.1498 1.1531 1.1572 1.1563 262 262 262 262 Model terms Gamma 44 44 2.01903 66 66 0.276045 132 132 0.853941 264 264 0.176158 264 262 1.00000 DIAGonal 1 1.30142 DIAGonal 2 -0.321901 DIAGonal 1 1.20098 DIAGonal 2 1.92457 Analysis of Variance 7 mu 4 tmt NumDF 1 1 df df df df : 1 components constrained Component 2.33451 0.319178 0.987372 0.203684 1.15625 1.50477 -0.372199 1.38864 2.22530 DenDF 56.5 60.6 F_inc 1276.73 448.83 Comp/SE 3.01 0.59 2.59 0.32 2.77 2.26 -0.82 2.18 3.07 % 0 0 0 0 0 0 0 0 0 C P P P P P U U U U Prob <.001 <.001 The estimated variance components from this analysis are given in column (b) of table 15.8. There is no significant variance heterogeneity at the residual or tmt.run level. This indicates that the square root transformation of the data has successfully stabilised the error variance. There is, however, significant variance heterogeneity for tmt.variety interactions with the variance being much greater for the control group. This reflects the fact that in the absence of bloodworms the potential maximum root area is greater. Note that the tmt.variety interaction variance for the treated group is negative. The negative component is meaningful