Hi all,

I want to conduct a multilevel poisson regression analysis, but I find myself stuck with the results of the glmer fuction.

In total I have 3115 observation of 20 variables. One of these observations is my Level2 variable, the pickers. In total I have 35 pickers, which R also confirms:

When I create my regression model as follows:

r1 <- glmer(MOP ~ Age+Contract+Promotion+Prevention+Conscientiousness+Neuroticism+

(1|SubjectID), family = poisson, data = Data)

summary(r1)

Where subjectID is the numeric label for the pickers.

R returns me this:

Random effects:

Groups Name Variance Std.Dev.

SubjectID (Intercept) 0.08706 0.2951

Number of obs: 2629, groups: SubjectID, 29

Does anyone know why R only recognizes 29 Subject IDs and 2629 observations instead of taking the whole data set into his calculations?

Please help me out!