Output from heplot2.sas
3 Graphs
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Output from heplot2.sas |
Source
3 Graphs |
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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
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| 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 ] |  |