I am having trouble understanding the results of my lme model. Could someone tell me how to understand the random effects?
Here is my model:
pm3<-lme(X13c~treat*pp, random=~1|ind, method="ML", data=data)
and here is the output:
Linear mixed-effects model fit by maximum likelihood
Data: data
Random effects:
Formula: ~1 | ind
(Intercept) Residual
StdDev: 2.309376e-05 0.5874904
Fixed effects: X13c ~ treat * pp
Correlation:
(Intr) trtstr pp
treatstress -0.711
pp -0.980 0.697
treatstress:pp 0.699 -0.980 -0.713
Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-2.87673908 -0.59487102 0.06679976 0.58081038 2.79025508
Number of Observations: 125
Number of Groups: 63
```