aspargus - Repeated Measures ANOVA in PROC MIXED assuming...

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Repeated Measures ANOVA in PROC MIXED assuming circularity 1 The Mixed Procedure Model Information Data Set WORK.ASPARGUS Dependent Variable yield Covariance Structure Variance Components Estimation Method Type 3 Residual Variance Method Factor Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values cut 4 1 2 3 4 block 4 1 2 3 4 year 4 0 1 2 3 Dimensions Covariance Parameters 2 Columns in X 29 Columns in Z 16 Subjects 1 Max Obs Per Subject 64 Number of Observations Number of Observations Read 64 Number of Observations Used 64 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square cut 3 241377 80459 block 3 30170 10057 year 3 518722 172907 cut*year 9 51178 5686.388889 cut*block 9 21861 2428.972222 Residual 36 15487 430.184028 Repeated Measures ANOVA in PROC MIXED assuming circularity 2 The Mixed Procedure
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Type 3 Analysis of Variance Error Source Expected Mean Square Error Term DF F Value cut Var(Residual) + 4 Var(cut*block) MS(cut*block) 9 33.12 + Q(cut,cut*year) block Var(Residual) + 4 Var(cut*block) MS(cut*block) 9 4.14 + Q(block) year Var(Residual) + Q(year,cut*year) MS(Residual) 36 401.94 cut*year Var(Residual) + Q(cut*year) MS(Residual) 36 13.22 cut*block Var(Residual) + 4 Var(cut*block) MS(Residual) 36 5.65 Residual Var(Residual) . . . Type 3 Analysis of Variance Source Pr > F cut <.0001 block 0.0423 year <.0001 cut*year <.0001 cut*block <.0001 Residual . Covariance Parameter
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aspargus - Repeated Measures ANOVA in PROC MIXED assuming...

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