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f8 - 0.992225 2.708195 0.081573 3.012083 Source DF Type I...

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Example F8 SAS Program data turnip; input plant leaf x1-x2; drop x1-x2; calcium=x1; output ; calcium=x2; output ; cards ; 1 1 3.28 3.09 1 2 3.52 3.48 1 3 2.88 2.80 2 1 2.46 2.44 2 2 1.87 1.92 2 3 2.19 2.19 3 1 2.77 2.66 3 2 3.74 3.44 3 3 2.55 2.55 4 1 3.78 3.87 4 2 4.07 4.12 4 3 3.31 3.31 ; run ; proc glm data =turnip; class plant leaf; model calcium= plant leaf(plant); random plant leaf(plant)/ test ; title 'Analysis of a Two way Nested Random Model: Turnip Data' ; run ;
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SAS Output Analysis of a Two way Nested Random Model: Turnip Data 1 The GLM Procedure Class Level Information Class Levels Values plant 4 1 2 3 4 leaf 3 1 2 3 Number of Observations Read 24 Number of Observations Used 24
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Analysis of a Two way Nested Random Model: Turnip Data 2 The GLM Procedure Dependent Variable: calcium Sum of Source DF Squares Mean Square F Value Pr > F Model 11 10.19054583 0.92641326 139.22 <.0001 Error 12 0.07985000 0.00665417 Corrected Total 23 10.27039583 R-Square Coeff Var Root MSE calcium Mean
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Unformatted text preview: 0.992225 2.708195 0.081573 3.012083 Source DF Type I SS Mean Square F Value Pr > F plant 3 7.56034583 2.52011528 378.73 <.0001 leaf(plant) 8 2.63020000 0.32877500 49.41 <.0001 Source DF Type III SS Mean Square F Value Pr > F plant 3 7.56034583 2.52011528 378.73 <.0001 leaf(plant) 8 2.63020000 0.32877500 49.41 <.0001 Analysis of a Two way Nested Random Model: Turnip Data 3 The GLM Procedure Source Type III Expected Mean Square plant Var(Error) + 2 Var(leaf(plant)) + 6 Var(plant) leaf(plant) Var(Error) + 2 Var(leaf(plant)) Analysis of a Two way Nested Random Model: Turnip Data 4 The GLM Procedure Tests of Hypotheses for Random Model Analysis of Variance Dependent Variable: calcium Source DF Type III SS Mean Square F Value Pr > F plant 3 7.560346 2.520115 7.67 0.0097 Error 8 2.630200 0.328775 Error: MS(leaf(plant)) Source DF Type III SS Mean Square F Value Pr > F leaf(plant) 8 2.630200 0.328775 49.41 <.0001 Error: MS(Error) 12 0.079850 0.006654...
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