The Mixed Procedure Model Information Data Set WORK.C Dependent Variable milk Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values month 9 1 3 4 5 6 8 9 10 11 cow 125 717 728 747 750 770 782 819 835 850 852 854 859 862 863 868 869 870 872 879 880 886 887 888 890 891 892 894 896 897 898 899 3164 3217 3231 3285 3291 3338 3344 3345 3363 3368 3412 3429 3430 3440 3442 3446 3455 3471 3478 3479 3492 3499 3502 3508 3509 3511 3513 3520 3521 3528 3529 3530 3531 3533 3542 3543 3554 3559 3564 3578 3579 3581 3586 3589 3590 3591 3594 3595 3596 3597 3598 3604 3605 3607 3608 3609 3610 3612 3613 3615 3617 3618 3620 3622 3626 3630 3631 3634 3635 3636 3637 3639 3642 3645 3647 3652 3657 3658 15665 15709 15740 15752 15754 15756 15766 15767 15774 15777 15788 15790 15792 15793 20465 20493 first 2 c h period 2 1 2 water 2 c h Dimensions Covariance Parameters 2 Columns in X 7 The Mixed Procedure Dimensions Columns in Z 125 Subjects 1 Max Obs Per Subject 250 Observations Used 250 Observations Not Used 0 Total Observations 250 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 2789.37924704 1 1 2639.08869107 0.00000000 Convergence criteria met. Covariance Parameter Estimates Cov Parm Estimate cow(first) 3841.60 Residual 732.63 Fitting Information Res Log Likelihood -1319.5 Akaike's Information Criterion -1321.5 Schwarz's Bayesian Criterion -1324.4 -2 Res Log Likelihood 2639.1 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F first 1 123 0.07 0.7865 period 1 123 37.73 <.0001 water 1 123 0.10 0.7479 The Mixed Procedure Model Information Data Set WORK.C Dependent Variable milk Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values month 9 1 3 4 5 6 8 9 10 11 cow 125 717 728 747 750 770 782 819 835 850 852 854 859 862 863 868 869 870 872 879 880 886 887 888 890 891 892 894 896 897 898 899 3164 3217 3231 3285 3291 3338 3344 3345 3363 3368 3412 3429 3430 3440 3442 3446 3455 3471 3478 3479 3492 3499 3502 3508 3509 3511 3513 3520 3521 3528 3529 3530 3531 3533 3542 3543 3554 3559 3564 3578 3579 3581 3586 3589 3590 3591 3594 3595 3596 3597 3598 3604 3605 3607 3608 3609 3610 3612 3613 3615 3617 3618 3620 3622 3626 3630 3631 3634 3635 3636 3637 3639 3642 3645 3647 3652 3657 3658 15665 15709 15740 15752 15754 15756 15766 15767 15774 15777 15788 15790 15792 15793 20465 20493 first 2 c h period 2 1 2 water 2 c h Dimensions Covariance Parameters 2 Columns in X 16 The Mixed Procedure Dimensions Columns in Z 125 Subjects 1 Max Obs Per Subject 250 Observations Used 250 Observations Not Used 0 Total Observations 250 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 2711.17304504 1 1 2564.50363820 0.00000000 Convergence criteria met. Covariance Parameter Estimates Cov Parm Estimate cow(month*first) 3773.11 Residual 732.63 Fitting Information Res Log Likelihood -1282.3 Akaike's Information Criterion -1284.3 Schwarz's Bayesian Criterion -1287.1 -2 Res Log Likelihood 2564.5 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F month 8 115 1.25 0.2744 first 1 115 0.01 0.9163 period 1 123 37.73 <.0001 The Mixed Procedure Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F water 1 123 0.10 0.7479 The Mixed Procedure Model Information Data Set WORK.A Dependent Variable milk Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values month 10 1 2 3 4 5 6 8 9 10 11 cow 125 717 728 747 750 770 782 819 835 850 852 854 859 862 863 868 869 870 872 879 880 886 887 888 890 891 892 894 896 897 898 899 3164 3217 3231 3285 3291 3338 3344 3345 3363 3368 3412 3429 3430 3440 3442 3446 3455 3471 3478 3479 3492 3499 3502 3508 3509 3511 3513 3520 3521 3528 3529 3530 3531 3533 3542 3543 3554 3559 3564 3578 3579 3581 3586 3589 3590 3591 3594 3595 3596 3597 3598 3604 3605 3607 3608 3609 3610 3612 3613 3615 3617 3618 3620 3622 3626 3630 3631 3634 3635 3636 3637 3639 3642 3645 3647 3652 3657 3658 15665 15709 15740 15752 15754 15756 15766 15767 15774 15777 15788 15790 15792 15793 20465 20493 first 2 c h water 2 c h period 4 1 2 3 4 Dimensions Covariance Parameters 2 Columns in X 46 The Mixed Procedure Dimensions Columns in Z 132 Subjects 1 Max Obs Per Subject 368 Observations Used 368 Observations Not Used 0 Total Observations 368 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 3882.34771271 1 2 3749.99564345 0.00319394 2 1 3743.92127262 0.00063807 3 1 3742.79635051 0.00003580 4 1 3742.73843857 0.00000014 5 1 3742.73822340 0.00000000 Convergence criteria met. Covariance Parameter Estimates Cov Parm Estimate cow(month) 3428.18 Residual 1279.43 Fitting Information Res Log Likelihood -1871.4 Akaike's Information Criterion -1873.4 Schwarz's Bayesian Criterion -1876.3 -2 Res Log Likelihood 3742.7 The Mixed Procedure Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F month 9 120 1.07 0.3881 period 3 223 35.72 <.0001 first 1 223 0.23 0.6318 water 1 223 0.16 0.6867 first*water*period 2 223 0.65 0.5215 month*first 8 223 2.05 0.0414 Least Squares Means Standard Effect month first Estimate Error DF t Value Pr > |t| month*first 1 c 311.20 10.3150 223 30.17 <.0001 month*first 1 h 310.21 10.3932 223 29.85 <.0001 month*first 2 c 306.61 45.2749 223 6.77 <.0001 month*first 3 c 303.82 22.7753 223 13.34 <.0001 month*first 3 h 339.60 22.9006 223 14.83 <.0001 month*first 4 c 275.86 18.4855 223 14.92 <.0001 month*first 4 h 301.88 21.4291 223 14.09 <.0001 month*first 5 c 330.62 26.1429 223 12.65 <.0001 month*first 5 h 256.45 30.9255 223 8.29 <.0001 month*first 6 c 340.40 22.5205 223 15.12 <.0001 month*first 6 h 299.40 22.5597 223 13.27 <.0001 month*first 8 c 277.82 28.0987 223 9.89 <.0001 month*first 8 h 306.97 28.1153 223 10.92 <.0001 month*first 9 c 330.37 22.9423 223 14.40 <.0001 month*first 9 h 323.16 22.8952 223 14.11 <.0001 month*first 10 c 258.55 26.3410 223 9.82 <.0001 month*first 10 h 290.69 28.8321 223 10.08 <.0001 month*first 11 c 353.85 24.4335 223 14.48 <.0001 month*first 11 h 315.53 21.6726 223 14.56 <.0001 The GLM Procedure Class Level Information Class Levels Values month 9 1 3 4 5 6 8 9 10 11 cow 125 717 728 747 750 770 782 819 835 850 852 854 859 862 863 868 869 870 872 879 880 886 887 888 890 891 892 894 896 897 898 899 3164 3217 3231 3285 3291 3338 3344 3345 3363 3368 3412 3429 3430 3440 3442 3446 3455 3471 3478 3479 3492 3499 3502 3508 3509 3511 3513 3520 3521 3528 3529 3530 3531 3533 3542 3543 3554 3559 3564 3578 3579 3581 3586 3589 3590 3591 3594 3595 3596 3597 3598 3604 3605 3607 3608 3609 3610 3612 3613 3615 3617 3618 3620 3622 3626 3630 3631 3634 3635 3636 3637 3639 3642 3645 3647 3652 3657 3658 15665 15709 15740 15752 15754 15756 15766 15767 15774 15777 15788 15790 15792 15793 20465 20493 first 2 c h period 4 1 2 3 4 Number of observations 364 The GLM Procedure Dependent Variable: milk Sum of Source DF Squares Mean Square F Value Pr > F Model 139 1314749.772 9458.631 7.72 <.0001 Error 224 274432.434 1225.145 Corrected Total 363 1589182.206 R-Square Coeff Var Root MSE milk Mean 0.827312 10.91220 35.00207 320.7610 Source DF Type I SS Mean Square F Value Pr > F month 8 95282.850 11910.356 9.72 <.0001 cow(month) 121 1024862.606 8469.939 6.91 <.0001 period 3 164284.311 54761.437 44.70 <.0001 first 1 837.957 837.957 0.68 0.4091 month*first 6 29482.048 4913.675 4.01 0.0008 Source DF Type III SS Mean Square F Value Pr > F month 8 77869.813 9733.727 7.94 <.0001 cow(month) 119 1059592.815 8904.141 7.27 <.0001 period 3 154526.953 51508.984 42.04 <.0001 first 1 741.150 741.150 0.60 0.4375 month*first 6 29482.048 4913.675 4.01 0.0008 Tests of Hypotheses Using the Type III MS for cow(month) as an Error Term Source DF Type III SS Mean Square F Value Pr > F month 8 77869.81349 9733.72669 1.09 0.3728 The GLM Procedure Least Squares Means Standard Errors and Probabilities Calculated Using the Type III MS for cow(month) as an Error Term Standard LSMEAN month milk LSMEAN Error Pr > |t| Number 1 308.593887 9.107430 <.0001 1 3 319.117021 20.040799 <.0001 2 4 291.844747 17.535277 <.0001 3 5 294.173252 27.121355 <.0001 4 6 317.953723 17.136138 <.0001 5 8 288.496960 23.860344 <.0001 6 9 325.949468 17.713731 <.0001 7 10 Non-est . . 8 11 Non-est . . 9 Least Squares Means for effect month Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 1 2 3 4 5 1 0.6222 0.3846 0.6192 0.6243 2 0.6222 0.2963 0.4665 0.9644 3 0.3846 0.2963 0.9432 0.2833 4 0.6192 0.4665 0.9432 0.4626 5 0.6243 0.9644 0.2833 0.4626 6 0.4215 0.3157 0.9084 0.8768 0.3123 7 0.3820 0.7977 0.1718 0.3298 0.7455 8 . . . . . 9 . . . . . Least Squares Means for effect month Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 6 7 8 9 1 0.4215 0.3820 . . 2 0.3157 0.7977 . . 3 0.9084 0.1718 . . 4 0.8768 0.3298 . . 5 0.3123 0.7455 . . 6 0.2078 . . The GLM Procedure Least Squares Means Least Squares Means for effect month Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 6 7 8 9 7 0.2078 . . 8 . . . 9 . . . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. The GLM Procedure Least Squares Means first milk LSMEAN c Non-est h Non-est Standard LSMEAN month first milk LSMEAN Error Pr > |t| Number 1 c 308.629601 5.684885 <.0001 1 1 h 308.558173 5.853425 <.0001 2 3 c 298.492021 14.436237 <.0001 3 3 h 339.742021 14.436237 <.0001 4 4 c 254.249003 15.288450 <.0001 5 4 h 329.440492 21.828532 <.0001 6 5 c 339.768997 15.277606 <.0001 7 5 h 248.577508 24.384793 <.0001 8 6 c 356.982979 14.005481 <.0001 9 6 h 278.924468 14.281932 <.0001 10 8 c 284.901216 19.540395 <.0001 11 8 h 292.092705 20.011153 <.0001 12 9 c 331.407801 9.706751 <.0001 13 9 h 320.491135 9.706751 <.0001 14 10 c Non-est . . 15 10 h Non-est . . 16 11 c Non-est . . 17 11 h Non-est . . 18 The GLM Procedure Least Squares Means Least Squares Means for effect month*first Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 1 2 3 4 5 6 1 0.9939 0.5104 0.0442 0.0011 0.3529 2 0.9939 0.5151 0.0446 0.0011 0.3521 3 0.5104 0.5151 0.0970 0.0374 0.2335 4 0.0442 0.0446 0.0970 <.0001 0.6913 5 0.0011 0.0011 0.0374 <.0001 0.0346 6 0.3529 0.3521 0.2335 0.6913 0.0346 7 0.0558 0.0561 0.0494 0.9990 0.0001 0.6964 8 0.0181 0.0184 0.0820 0.0016 0.8431 0.0155 9 0.0017 0.0018 0.0043 0.3960 <.0001 0.2942 10 0.0506 0.0521 0.3293 0.0027 0.2440 0.0496 11 0.2458 0.2484 0.5773 0.0253 0.2173 0.1311 12 0.4219 0.4249 0.7930 0.0517 0.1377 0.1998 13 0.0434 0.0444 0.0593 0.6317 <.0001 0.9343 14 0.2914 0.2922 0.2065 0.2687 0.0003 0.7077 15 . . . . . . 16 . . . . . . 17 . . . . . . 18 . . . . . . Least Squares Means for effect month*first Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 7 8 9 10 11 12 1 0.0558 0.0181 0.0017 0.0506 0.2458 0.4219 2 0.0561 0.0184 0.0018 0.0521 0.2484 0.4249 3 0.0494 0.0820 0.0043 0.3293 0.5773 0.7930 4 0.9990 0.0016 0.3960 0.0027 0.0253 0.0517 5 0.0001 0.8431 <.0001 0.2440 0.2173 0.1377 6 0.6964 0.0155 0.2942 0.0496 0.1311 0.1998 7 0.0106 0.4099 0.0036 0.0282 0.0570 8 0.0106 0.0001 0.2912 0.2450 0.1759 9 0.4099 0.0001 0.0023 0.0030 0.0093 10 0.0036 0.2912 0.0023 0.8060 0.5836 11 0.0282 0.2450 0.0030 0.8060 0.8391 12 0.0570 0.1759 0.0093 0.5836 0.8391 The GLM Procedure Least Squares Means Least Squares Means for effect month*first Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 7 8 9 10 11 12 13 0.6441 0.0019 0.1356 0.0026 0.0342 0.0776 14 0.2873 0.0067 0.0337 0.0165 0.1044 0.2017 15 . . . . . . 16 . . . . . . 17 . . . . . . 18 . . . . . . Least Squares Means for effect month*first Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: milk i/j 13 14 15 16 17 18 1 0.0434 0.2914 . . . . 2 0.0444 0.2922 . . . . 3 0.0593 0.2065 . . . . 4 0.6317 0.2687 . . . . 5 <.0001 0.0003 . . . . 6 0.9343 0.7077 . . . . 7 0.6441 0.2873 . . . . 8 0.0019 0.0067 . . . . 9 0.1356 0.0337 . . . . 10 0.0026 0.0165 . . . . 11 0.0342 0.1044 . . . . 12 0.0776 0.2017 . . . . 13 0.4457 . . . . 14 0.4457 . . . . 15 . . . . . 16 . . . . . 17 . . . . . 18 . . . . . NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.