I am trying to use the LME package to run a multilevel logistic model
using the following code:
------------------------------------------------------------------------
-------------------------------------------
Model1 = GLMM(WEAP ~ TSRAT2 , random = ~1 | GROUP , family = binomial,
na.action = na.omit )
------------------------------------------------------------------------
-------------------------------------------
Where WEAP is a dichotomous outcome measure, TSRAT2 is a group level
covariate, and GROUP is the grouping variable.
I do not have significant missing data and the dataset is over 15000
cases.
I have tried changing the outcome measure(s) and predictor(s) with the
same result. Each time R fails and returns the following message:
------------------------------------------------------------------------
------------------------------------------------
structure(list( : flist must be a non-empty list of factors
------------------------------------------------------------------------
------------------------------------------------
This appears to be problem with the grouping variable, yet there are no
missing values and the data were sorted on this variable prior to being
read into R.
Any suggestions would be greatly appreciated.
Robert Bossarte, PhD
EIS Officer
Division of Violence Prevention
National Center for Injury Prevention and Control
Centers for Disease Control and Prevention
4770 Buford Highway, NE - Mailstop K-60
Atlanta, GA 30341
(770) 488-1529
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