95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 3.3804 
response variable: paint 

intervals excluding 0 are flagged by '****' 

                Estimate Std.Error Lower Bound Upper Bound      
site 1-site 2  5.00e-001      5.87       -19.3        20.3     
site 1-site 3  1.25e+000      5.87       -18.6        21.1     
site 1-site 4  5.00e-001      5.87       -19.3        20.3     
site 1-site 5 -4.00e+000      5.87       -23.8        15.8     
site 1-site 6 -5.50e+000      5.87       -25.3        14.3     
site 2-site 3  7.50e-001      5.87       -19.1        20.6     
site 2-site 4 -1.19e-015      5.87       -19.8        19.8     
site 2-site 5 -4.50e+000      5.87       -24.3        15.3     
site 2-site 6 -6.00e+000      5.87       -25.8        13.8     
site 3-site 4 -7.50e-001      5.87       -20.6        19.1     
site 3-site 5 -5.25e+000      5.87       -25.1        14.6     
site 3-site 6 -6.75e+000      5.87       -26.6        13.1     
site 4-site 5 -4.50e+000      5.87       -24.3        15.3     
site 4-site 6 -6.00e+000      5.87       -25.8        13.8     
site 5-site 6 -1.50e+000      5.87       -21.3        18.3     

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = y ~ supplier + site, data = prb0401, na.action = na.exclude)

Terms:
                supplier     site Residuals 
 Sum of Squares 665.1250   3.0036  728.8298
Deg. of Freedom        3        1        19

Residual standard error: 6.193502 
Estimated effects may be unbalanced

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = y ~ supplier + site, data = prb0401, na.action = na.exclude)

Terms:
                supplier     site Residuals 
 Sum of Squares 665.1250   3.0036  728.8298
Deg. of Freedom        3        1        19

Residual standard error: 6.193502 
Estimated effects may be unbalanced

*** Analysis of Variance Model ***

Short Output:
Call:
   aov(formula = y ~ site + supplier, data = prb0401, na.action = na.exclude)

Terms:
                    site supplier Residuals 
 Sum of Squares   3.0036 665.1250  728.8298
Deg. of Freedom        1        3        19

Residual standard error: 6.193502 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq  F Value     Pr(F) 
     site  1    3.0036   3.0036 0.078301 0.7826373
 supplier  3  665.1250 221.7083 5.779756 0.0055331
Residuals 19  728.8298  38.3595                   

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 2.9439 
response variable: y 

intervals excluding 0 are flagged by '****' 

      Estimate Std.Error Lower Bound Upper Bound      
FD-GS   -9.830      3.58      -20.40       0.694     
 FD-L    2.000      3.58       -8.53      12.500     
FD-ZK   -9.000      3.58      -19.50       1.530     
 GS-L   11.800      3.58        1.31      22.400 ****
GS-ZK    0.833      3.58       -9.69      11.400     
 L-ZK  -11.000      3.58      -21.50      -0.473 ****

*** Analysis of Variance Model ***

Short Output:
Call:
   aov(formula = y ~ site + supplier, data = prb0401, na.action = na.exclude)

Terms:
                    site supplier Residuals 
 Sum of Squares   3.0036 665.1250  728.8298
Deg. of Freedom        1        3        19

Residual standard error: 6.193502 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq  F Value     Pr(F) 
     site  1    3.0036   3.0036 0.078301 0.7826373
 supplier  3  665.1250 221.7083 5.779756 0.0055331
Residuals 19  728.8298  38.3595                   

*** Analysis of Variance Model ***

Short Output:
Call:
   aov(formula = y ~ site + supplier, data = prb0401, na.action = na.exclude)

Terms:
                    site supplier Residuals 
 Sum of Squares 568.7083 665.1250  163.1250
Deg. of Freedom        5        3        15

Residual standard error: 3.297726 
Estimated effects are balanced

          Df Sum of Sq  Mean Sq  F Value       Pr(F) 
     site  5  568.7083 113.7417 10.45900 0.000180808
 supplier  3  665.1250 221.7083 20.38697 0.000015031
Residuals 15  163.1250  10.8750                     

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 3.0363 
response variable: y 

intervals excluding 0 are flagged by '****' 

      Estimate Std.Error Lower Bound Upper Bound      
FD-GS   -9.830       1.9      -15.60       -4.05 ****
 FD-L    2.000       1.9       -3.78        7.78     
FD-ZK   -9.000       1.9      -14.80       -3.22 ****
 GS-L   11.800       1.9        6.05       17.60 ****
GS-ZK    0.833       1.9       -4.95        6.61     
 L-ZK  -11.000       1.9      -16.80       -5.22 ****

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 3.0363 
response variable: y 

intervals excluding 0 are flagged by '****' 

      Estimate Std.Error Lower Bound Upper Bound      
FD-GS   -9.830       1.9      -15.60       -4.05 ****
 FD-L    2.000       1.9       -3.78        7.78     
FD-ZK   -9.000       1.9      -14.80       -3.22 ****
 GS-L   11.800       1.9        6.05       17.60 ****
GS-ZK    0.833       1.9       -4.95        6.61     
 L-ZK  -11.000       1.9      -16.80       -5.22 ****

 

*** Analysis of Variance Model ***

Short Output:
Call:
   aov(formula = y ~ supplier + site, data = prb0401, na.action = na.exclude)

Terms:
                supplier     site Residuals 
 Sum of Squares 665.1250 568.7083  163.1250
Deg. of Freedom        3        5        15

Residual standard error: 3.297726 
Estimated effects are balanced

          Df Sum of Sq  Mean Sq  F Value       Pr(F) 
 supplier  3  665.1250 221.7083 20.38697 0.000015031
     site  5  568.7083 113.7417 10.45900 0.000180808
Residuals 15  163.1250  10.8750                     

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 3.0363 
response variable: y 

intervals excluding 0 are flagged by '****' 

      Estimate Std.Error Lower Bound Upper Bound      
FD-GS   -9.830       1.9      -15.60       -4.05 ****
 FD-L    2.000       1.9       -3.78        7.78     
FD-ZK   -9.000       1.9      -14.80       -3.22 ****
 GS-L   11.800       1.9        6.05       17.60 ****
GS-ZK    0.833       1.9       -4.95        6.61     
 L-ZK  -11.000       1.9      -16.80       -5.22 ****

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 3.4837 
response variable: y 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B    -8.75      2.33      -16.90      -0.627 ****
A-C    -4.50      2.33      -12.60       3.620     
A-D     4.75      2.33       -3.37      12.900     
A-E    -9.25      2.33      -17.40      -1.130 ****
A-F    -3.00      2.33      -11.10       5.120     
B-C     4.25      2.33       -3.87      12.400     
B-D    13.50      2.33        5.38      21.600 ****
B-E    -0.50      2.33       -8.62       7.620     
B-F     5.75      2.33       -2.37      13.900     
C-D     9.25      2.33        1.13      17.400 ****
C-E    -4.75      2.33      -12.90       3.370     
C-F     1.50      2.33       -6.62       9.620     
D-E   -14.00      2.33      -22.10      -5.880 ****
D-F    -7.75      2.33      -15.90       0.373     
E-F     6.25      2.33       -1.87      14.400     

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant + run, data = prb0404.3, na.action = 
	na.exclude)

Terms:
                 variant      run Residuals 
 Sum of Squares 254.3750  59.1457  406.3543
Deg. of Freedom        3        7        21

Residual standard error: 4.398886 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3  254.3750 84.79167   8.18018
      run  7   59.1457  8.44939  -2.72520
Residuals 21  406.3543 19.35020  19.35020

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 2.9121 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.73      12.000     
A-C     1.90      2.39       -5.06       8.870     
A-D    -4.74      2.81      -12.90       3.430     
B-C    -1.71      2.50       -8.99       5.560     
B-D    -8.36      2.65      -16.10      -0.628 ****
C-D    -6.65      2.53      -14.00       0.735     

95 % simultaneous confidence intervals for specified 
linear combinations, by the Sidak method 

critical point: 2.884 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.65      11.900     
A-C     1.90      2.39       -5.00       8.800     
A-D    -4.74      2.81      -12.80       3.350     
B-C    -1.71      2.50       -8.92       5.490     
B-D    -8.36      2.65      -16.00      -0.703 ****
C-D    -6.65      2.53      -14.00       0.664     

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant, data = prb0404.3, na.action = na.exclude)

Terms:
                variant Residuals 
 Sum of Squares 254.375   465.500
Deg. of Freedom       3        28

Residual standard error: 4.077377 
Estimated effects are balanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3   254.375 84.79167   8.52083
Residuals 28   465.500 16.62500  16.62500

95 % simultaneous confidence intervals for specified 
linear combinations, by the Sidak method 

critical point: 2.8179 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     2.75      2.04       -2.99       8.490     
A-C     2.00      2.04       -3.74       7.740     
A-D    -4.50      2.04      -10.20       1.240     
B-C    -0.75      2.04       -6.49       4.990     
B-D    -7.25      2.04      -13.00      -1.510 ****
C-D    -6.50      2.04      -12.20      -0.755 ****

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant + run, data = prb0404.3, na.action = 
	na.exclude)

Terms:
                 variant      run Residuals 
 Sum of Squares 254.3750  59.1457  406.3543
Deg. of Freedom        3        7        21

Residual standard error: 4.398886 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3  254.3750 84.79167   8.18018
      run  7   59.1457  8.44939  -2.72520
Residuals 21  406.3543 19.35020  19.35020

95 % simultaneous confidence intervals for specified 
linear combinations, by the Sidak method 

critical point: 3.5136 
response variable: result 

intervals excluding 0 are flagged by '****' 

          Estimate Std.Error Lower Bound Upper Bound      
Run1-Run2 -1.84000      3.17       -13.0        9.31     
Run1-Run3 -0.15400      3.19       -11.4       11.10     
Run1-Run4 -0.00731      3.27       -11.5       11.50     
Run1-Run5 -1.75000      3.11       -12.7        9.18     
Run1-Run6 -0.97400      3.32       -12.6       10.70     
Run1-Run7 -2.28000      3.35       -14.1        9.50     
Run1-Run8 -4.49000      3.33       -16.2        7.21     
Run2-Run3  1.68000      3.24        -9.7       13.10     
Run2-Run4  1.83000      3.46       -10.3       14.00     
Run2-Run5  0.08860      3.17       -11.1       11.20     
Run2-Run6  0.86400      3.23       -10.5       12.20     
Run2-Run7 -0.44300      3.50       -12.8       11.90     
Run2-Run8 -2.66000      3.44       -14.8        9.45     
Run3-Run4  0.14700      3.51       -12.2       12.50     
Run3-Run5 -1.60000      3.19       -12.8        9.62     
Run3-Run6 -0.82000      3.38       -12.7       11.10     
Run3-Run7 -2.13000      3.65       -15.0       10.70     
Run3-Run8 -4.34000      3.18       -15.5        6.84     
Run4-Run5 -1.74000      3.27       -13.2        9.74     
Run4-Run6 -0.96700      3.62       -13.7       11.80     
Run4-Run7 -2.27000      3.17       -13.4        8.85     
Run4-Run8 -4.49000      3.63       -17.3        8.28     
Run5-Run6  0.77600      3.32       -10.9       12.40     
          Estimate Std.Error Lower Bound Upper Bound      
Run5-Run7 -0.53200      3.35       -12.3       11.30     
Run5-Run8 -2.74000      3.33       -14.4        8.96     
Run6-Run7 -1.31000      3.76       -14.5       11.90     
Run6-Run8 -3.52000      3.69       -16.5        9.46     
Run7-Run8 -2.21000      3.78       -15.5       11.10     

95 % simultaneous confidence intervals for specified 
linear combinations, by the Sidak method 

critical point: 2.884 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.65      11.900     
A-C     1.90      2.39       -5.00       8.800     
A-D    -4.74      2.81      -12.80       3.350     
B-C    -1.71      2.50       -8.92       5.490     
B-D    -8.36      2.65      -16.00      -0.703 ****
C-D    -6.65      2.53      -14.00       0.664     

95 % simultaneous confidence intervals for specified 
linear combinations, by the Sidak method 

critical point: 2.884 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.65      11.900     
A-C     1.90      2.39       -5.00       8.800     
A-D    -4.74      2.81      -12.80       3.350     
B-C    -1.71      2.50       -8.92       5.490     
B-D    -8.36      2.65      -16.00      -0.703 ****
C-D    -6.65      2.53      -14.00       0.664     

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant + run, data = prb0404.3, na.action = 
	na.exclude)

Terms:
                 variant      run Residuals 
 Sum of Squares 254.3750  59.1457  406.3543
Deg. of Freedom        3        7        21

Residual standard error: 4.398886 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3  254.3750 84.79167   8.18018
      run  7   59.1457  8.44939  -2.72520
Residuals 21  406.3543 19.35020  19.35020

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant + run, data = prb0404.3, na.action = 
	na.exclude)

Terms:
                 variant      run Residuals 
 Sum of Squares 254.3750  59.1457  406.3543
Deg. of Freedom        3        7        21

Residual standard error: 4.398886 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3  254.3750 84.79167   8.18018
      run  7   59.1457  8.44939  -2.72520
Residuals 21  406.3543 19.35020  19.35020

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 2.9121 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.73      12.000     
A-C     1.90      2.39       -5.06       8.870     
A-D    -4.74      2.81      -12.90       3.430     
B-C    -1.71      2.50       -8.99       5.560     
B-D    -8.36      2.65      -16.10      -0.628 ****
C-D    -6.65      2.53      -14.00       0.735     

*** Analysis of Variance Model ***

Short Output:
Call:
   raov(formula = result ~ variant + run, data = prb0404.3, na.action = 
	na.exclude)

Terms:
                 variant      run Residuals 
 Sum of Squares 254.3750  59.1457  406.3543
Deg. of Freedom        3        7        21

Residual standard error: 4.398886 
Estimated effects may be unbalanced

          Df Sum of Sq  Mean Sq Est. Var. 
  variant  3  254.3750 84.79167   8.18018
      run  7   59.1457  8.44939  -2.72520
Residuals 21  406.3543 19.35020  19.35020

95 % simultaneous confidence intervals for specified 
linear combinations, by the Bonferroni method 

critical point: 2.9121 
response variable: result 

intervals excluding 0 are flagged by '****' 

    Estimate Std.Error Lower Bound Upper Bound      
A-B     3.62      2.87       -4.73      12.000     
A-C     1.90      2.39       -5.06       8.870     
A-D    -4.74      2.81      -12.90       3.430     
B-C    -1.71      2.50       -8.99       5.560     
B-D    -8.36      2.65      -16.10      -0.628 ****
C-D    -6.65      2.53      -14.00       0.735