choccake

choccake - Split-plot analysis of the chocolate cake data...

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Split-plot analysis of the chocolate cake data with PROC MIXED 1 The Mixed Procedure Model Information Data Set WORK.CAKE Dependent Variable break 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 recipe 3 1 2 3 replicat 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 baketemp 6 1 2 3 4 5 6 Dimensions Covariance Parameters 2 Columns in X 28 Columns in Z 45 Subjects 1 Max Obs Per Subject 270 Number of Observations Number of Observations Read 270 Number of Observations Used 270 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square recipe 2 135.088889 67.544444 baketemp 5 2100.300000 420.060000 recipe*baketemp 10 205.977778 20.597778 replicat(recipe) 42 11403 271.493122 Residual 210 4298.888889 20.470899 Split-plot analysis of the chocolate cake data with PROC MIXED 2 The Mixed Procedure
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Type 3 Analysis of Variance Source Expected Mean Square Error Term recipe Var(Residual) + 6 MS(replicat(recipe)) Var(replicat(recipe)) + Q(recipe,recipe*baketemp) baketemp Var(Residual) + MS(Residual) Q(baketemp,recipe*baketemp) recipe*baketemp Var(Residual) + Q(recipe*baketemp) MS(Residual) replicat(recipe) Var(Residual) + 6 MS(Residual) Var(replicat(recipe)) Residual Var(Residual) . Type 3 Analysis of Variance
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choccake - Split-plot analysis of the chocolate cake data...

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