## Output from heplot2.sas

Source
3 Graphs

```                            Two Way Manova Example                           1
```
```                       General Linear Models Procedure
Class Level Information

Class    Levels    Values
```
```                          SEX           2    F M

DRUG          3    A B C

Number of observations in data set = 24

```

```                            Two Way Manova Example                           2
Hypothesis and Error Covariance for Sex Effect
```
`OBS  _NAME_  _SOURCE_  _TYPE_       Y1       Y2  DF       SS     F       PROB`
``` 1     Y1    ERROR     ERROR    94.500   76.500  18   94.500    .       .
2     Y2    ERROR     ERROR    76.500  114.000  18  114.000    .       .
3     Y1    SEX       SS3       0.667    0.667   1    0.667   0.1270  0.72572
4     Y2    SEX       SS3       0.667    0.667   1    0.667   0.1053  0.74934
5     Y1    DRUG      SS3     301.000   97.500   2  301.000  28.6667  0.00000
6     Y2    DRUG      SS3      97.500   36.333   2   36.333   2.8684  0.08292
7     Y1    SEX*DRUG  SS3      14.333   21.333   2   14.333   1.3651  0.28056
8     Y2    SEX*DRUG  SS3      21.333   32.333   2   32.333   2.5526  0.10569```

```                            Two Way Manova Example                           3
Hypothesis and Error Covariance for Sex Effect
```
```                        DFH
SEX                          1

E               Y1        Y2 DFE
Y1            94.5      76.5 Y1              18
Y2            76.5       114

H               Y1        Y2 DFH
Y1       0.6666667 0.6666667 SEX                          1
Y2       0.6666667 0.6666667
```

```                            Two Way Manova Example                           4
Hypothesis and Error Covariance for Drug Effect
```
```                        DFH
DRUG                         2

E               Y1        Y2 DFE
Y1            94.5      76.5 Y1              18
Y2            76.5       114

H               Y1        Y2 DFH
Y1             301      97.5 DRUG                         2
Y2            97.5 36.333333
```

```                            Two Way Manova Example                           5
Hypothesis and Error Covariance for Sex*Drug Effect
```
```                        DFH
SEX*DRUG                     2

E               Y1        Y2 DFE
Y1            94.5      76.5 Y1              18
Y2            76.5       114

H               Y1        Y2 DFH
Y1       14.333333 21.333333 SEX*DRUG                     2
Y2       21.333333 32.333333
```

`                                                                             6`

### Graphic output from heplot2.sas

 PLOT OF Y2 * Y1 = MAT [GPLOT 09/27/99 ] PLOT OF Y2 * Y1 = MAT [GPLOT1 09/27/99 ] PLOT OF Y2 * Y1 = MAT [GPLOT2 09/27/99 ]