?Hello
I have some data that I would to analyse with mixed models (lme). As a standard procedure I tested for the normality of the data and it is not normal. Any ideas of how deals with this kind of data? I have a sample below and the model that I was hoping to use (if?the data?was normal)
m <- lme(Distance~Time,random=~1|ID,data=data).
|
| ID |
| Time |
| Distance |
|
| 10187A |
| Pre_dry |
| 4.31287 |
|
| 10187A |
| Pre_dry |
| 6.867578 |
|
| 10187A |
| Pre_dry |
| 4.640427 |
|
| 10187A |
| Post_dry |
| 4.497807 |
|
| 10187A |
| Post_dry |
| 9.726069 |
|
| 10187A |
| Post_dry |
| 5.150089 |
Regards,
Moses SELEBATSO?