We study the effect of several variables on fruit set for 44
individuals (plants). For each individual, we have the number
of fruits, the number of flowers and a value for each variable.
...
- Glm does not take account of the correlation between the
flowers of a unique individual. So we would like to add a
random effect 'individual' but the model2 (here after) gives an
output similar to the one of model1 for estimated coefficients
and p-values.
...
Does it mean that there is no individual effect or is my model
not good (number of groups (individuals)=number of observations,
is it possible?).