This is part of the data on the patient's respiratory status.
data(Respiratory)Number of patients
Patient gender ( 0 : Female, 1 : Male )
Patient age ( 0 : Under 30, 1 : Over 30 )
Measurement time ( 0 : before, 1 : 1 month, 2 : 2months )
Measurement status after taking placebo, response variable ( 0 : poor, 1 : good )
57 patients were measured for good and bad by taking 3 measurements before, 1 and 2 months after taking placebo A data frame with 171 rows and 5 variables
| subject | gender | age | month | status | |
| 1 | 1 | 0 | 1 | 0 | 0 |
| 2 | 1 | 0 | 1 | 1 | 0 |
| 3 | 1 | 0 | 1 | 2 | 0 |
| 4 | 2 | 0 | 0 | 0 | 0 |
| 5 | 2 | 0 | 0 | 1 | 0 |
| 6 | 2 | 0 | 0 | 2 | 0 |
| 7 | 4 | 0 | 1 | 0 | 1 |
| 8 | 4 | 0 | 1 | 1 | 1 |
| 9 | 4 | 0 | 1 | 2 | 1 |
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| 166 | 104 | 1 | 1 | 0 | 1 |
| 167 | 104 | 1 | 1 | 1 | 0 |
| 168 | 104 | 1 | 1 | 2 | 1 |
| 169 | 106 | 1 | 1 | 0 | 0 |
| 170 | 106 | 1 | 1 | 1 | 0 |
| 171 | 106 | 1 | 1 | 2 | 0 |
Davis, C. S. (1991). Semi-parametric and non-parametric methods for the analysis of repeated measurements with applications to clinical trials. Statistics in Medicine, 10, 1959<U+2014>1980.