[R-sig-ME] Different number of observations in variables of glmer

[Cueva, Jorge]

Hello, I am trying fit a glmer where the fixed variables has a different number of observations (72 and 60). With the models where the variables has the full observations I don�t have problems but yes in the models where some of its variables has 60 observations. In the second case,  all work well until I compute the R2m and R2c and I get the error "fitting model with the observation-level random effect term failed. Add the term manually", so, when I ingress the observation level the AIC increase 2 points, and miss 1 df. Please how I might work in these cases??

First case...
glmer(Spp~1+Mth.Prec+Soil.depth+Drainage+(1|Cluster),data = VariabRL,family=poisson,glmerControl(optimizer="bobyqa", optCtrl = list(maxfun = 2e5)))

Second case...
glmer(Spp~1+Mth.Prec+Soil.depth+Drainage+(1|Cluster)+(1|X),data = VariabRL,family=poisson,glmerControl(optimizer="bobyqa", optCtrl = list(maxfun = 2e5)))

Mth.Prec = 72 observations
Soil.depth and Drainage = 60 observations
X = observation level

Thanks a lot

Jorge Cueva Ortiz
Ing. Forestal
ECU: 0993085161
GER: 0049 1631327886


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