Post on 10-Jan-2016
description
Probador(Bloque)Proceso(Factor A)Porcentaje Harina de Haba(Factor B)
30405060
1G90948381
2G81868291
3G92998282
4G94949493
5G80919077
6G63908687
7G77906966
8G90808091
9G75757575
10G77906966
1F87879093
2F85848284
3F85929493
4F919310094
5F86859190
6F90898684
7F86717569
8F56939196
9F70806570
10F86717569
options ls=76 ps=56; data dbca_f; input pan proce$ hh pref; cards; 1 g 30 90 1 g 40 94 1 g 50 83 1 g 60 81 1 f 30 87 1 f 40 87 1 f 50 90 1 f 60 93 2 g 30 81 2 g 40 86 2 g 50 82 2 g 60 91 2 f 30 85 2 f 40 84 2 f 50 82 2 f 60 84 3 g 30 92 3 g 40 99 3 g 50 82 3 g 60 82 3 f 30 85 3 f 40 92 3 f 50 94 3 f 60 93 4 g 30 94 4 g 40 94 4 g 50 94 4 g 60 93 4 f 30 91 4 f 40 93 4 f 50 100 4 f 60 94 5 g 30 80 5 g 40 91 5 g 50 90 5 g 60 77 5 f 30 86 5 f 40 85 5 f 50 91 5 f 60 90 6 g 30 63 6 g 40 90 6 g 50 86 6 g 60 87 6 f 30 90 6 f 40 89 6 f 50 86 6 f 60 84 7 g 30 77 7 g 40 90 7 g 50 69 7 g 60 66 7 f 30 86 7 f 40 71 7 f 50 75 7 f 60 69 8 g 30 90 8 g 40 80 8 g 50 80 8 g 60 91 8 f 30 56 8 f 40 93 8 f 50 91 8 f 60 96 9 g 30 75 9 g 40 75 9 g 50 75 9 g 60 75 9 f 30 70 9 f 40 80 9 f 50 65 9 f 60 70 10 g 30 77 10 g 40 90 10 g 50 69 10 g 60 66 10 f 30 86 10 f 40 71 10 f 50 75 10 f 60 69 ; proc mixed; class pan proce hh; model pref=proce hh proce*hh/ddfm=satterth; random pan; lsmeans proce/pdiff; lsmeans hh; contrast 'n-lineal' hh -3 -1 1 3; contrast 'n-cuadra' hh 1 -1 -1 1; run;
The SAS System 5 07:40 Thursday, April 1, 2004
The Mixed Procedure
Model Information
Data Set WORK.DBCA_F Dependent Variable pref Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite
Class Level Information
Class Levels Values
pan 10 1 2 3 4 5 6 7 8 9 10 proce 2 f g hh 4 30 40 50 60
Dimensions
Covariance Parameters 2 Columns in X 15 Columns in Z 10 Subjects 1 Max Obs Per Subject 80 Observations Used 80 Observations Not Used 0 Total Observations 80
Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 547.36799405 1 1 522.37150477 0.00000000
Convergence criteria met.
Covariance Parameter Estimates
Cov Parm Estimate
pan 40.9865 Residual 49.8093
The SAS System 6 07:40 Thursday, April 1, 2004
The Mixed Procedure
Fit Statistics
-2 Res Log Likelihood 522.4 AIC (smaller is better) 526.4 AICC (smaller is better) 526.5 BIC (smaller is better) 527.0
Type 3 Tests of Fixed Effects
Num Den Effect DF DF F Value Pr > F
proce 1 63 0.24 0.6251 hh 3 63 1.81 0.1542 proce*hh 3 63 1.44 0.2385
Contrasts
Num Den Label DF DF F Value Pr > F
n-lineal 1 63 0.10 0.7509 n-cuadra 1 63 2.56 0.1146
Least Squares Means
StandardEffect proce hh Estimate Error DF t Value Pr > |t|
proce f 83.9500 2.3117 11.5 36.32