# Re: st: Anova and Contrasts with missing cells

 From David Airey To statalist@hsphsun2.harvard.edu Subject Re: st: Anova and Contrasts with missing cells Date Sat, 25 Oct 2008 10:12:34 -0500

Phil Ender's -anovacontrast- commands gets the same contrasts _except_ for the desired one:
```
anova nnn round size

```
Number of obs = 22 R-squared = 0.7465 Root MSE = .082094 Adj R-squared = 0.6673
```
```
Source | Partial SS df MS F Prob > F ----------- +---------------------------------------------------- Model | .317523495 5 .063504699 9.42 0.0002
```                         |
```
round | .15988107 4 .039970267 5.93 0.0040 size | .15876267 1 .15876267 23.56 0.0002
```                         |
Residual |  .107829606    16   .00673935
```
----------- +----------------------------------------------------
```                   Total |  .425353101    21   .02025491

anovacontrast round, values(-1 1 0 0 0)

Contrast variable: round (-1 1 0 0 0) Dep Var: nnn
source           SS          df      MS        Contrast =    -0.01
---------+---------------------------------    N of obs =       22
contrast | .000060166         1      0.0001    F        =     0.01
error    | .107829606        16      0.0067    Prob > F =   0.9259
---------+---------------------------------    t        =     0.09

anovacontrast round, values(-1 0 1 0 0)

Contrast variable: round (-1 0 1 0 0) Dep Var: nnn
source           SS          df      MS        Contrast =     0.49
---------+---------------------------------    N of obs =       22
contrast | .345744034         1      0.3457    F        =    51.30
error    | .107829606        16      0.0067    Prob > F =   0.0000
---------+---------------------------------    t        =     7.16

anovacontrast round, values(-1 0 0 1 0)

Contrast variable: round (-1 0 0 1 0) Dep Var: nnn
source           SS          df      MS        Contrast =     0.04
---------+---------------------------------    N of obs =       22
contrast | .004915206         1      0.0049    F        =     0.73
error    | .107829606        16      0.0067    Prob > F =   0.4057
---------+---------------------------------    t        =     0.85

anovacontrast round, values(-1 0 0 0 1)

Contrast variable: round (-1 0 0 0 1) Dep Var: nnn
source           SS          df      MS        Contrast =     0.18
---------+---------------------------------    N of obs =       22
contrast | .087318113         1      0.0873    F        =    12.96
error    | .107829606        16      0.0067    Prob > F =   0.0024
---------+---------------------------------    t        =     3.60

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```