alfalfa - Split-plot analysis of alfalfa data with PROC...

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1 The Mixed Procedure Model Information Data Set WORK.ALFALFA 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 block 6 1 2 3 4 5 6 variety 3 1 2 3 date 4 1 2 3 4 Dimensions Covariance Parameters 3 Columns in X 20 Columns in Z 24 Subjects 1 Max Obs Per Subject 72 Number of Observations Number of Observations Read 72 Number of Observations Used 72 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square variety 2 0.178019 0.089010 date 3 1.962471 0.654157 variety*date 6 0.210558 0.035093 block 5 4.149824 0.829965 block*variety 10 1.362347 0.136235 Residual 45 1.258546 0.027968 Split-plot analysis of alfalfa data with PROC MIXED 2 The Mixed Procedure
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This note was uploaded on 11/13/2011 for the course STAT 8200 taught by Professor Staff during the Fall '08 term at University of Georgia Athens.

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alfalfa - Split-plot analysis of alfalfa data with PROC...

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