Dear colleagues: I am working with binary mixed models using lme4 package and everything works fine until I try to spatialize the fitted models using grids predictors. I have used the "predict" function from RASTER package and the RSAGA functionalities, but always I have the same error: "Error in object$xlevels : $ operator not defined for this S4 class". I think the problem comes from the slot (@) used in lme4 for values derived from fitted models. In other mixed models (gausssian) from nlme package, the slots are $ and the "predict" function works fine. How do you think can I solve this problem?' Is there any other function or package to make grid maps from fitted glmer models? These are the command lines and error message: fitted_glmer_geo<-predict(grid_stack, fitted_glmer, type="response") Error in object$xlevels : $ operator not defined for this S4 class
Thanks in advance, and my best regards, Olga Olga Viedma Sillero Profesora Ordenacion del Territorio Departamento Ciencias Ambientales Facultad Ciencias del Medio Ambiente Avd/ Carlos III, s/n 45071 Toledo (Spain) email: olga.vie...@uclm.es Tel: 925-268800 (ext. 5469) Tel movil: 675 880 297 Fax: 925 268844 ________________________________ De: MARIA OLGA VIEDMA SILLERO Enviado el: miƩ 26/09/2012 13:09 Para: ba...@stat.wisc.edu; bbol...@gmail.com; maech...@r-project.org Asunto: problems making grids from lmer models [[alternative HTML version deleted]]
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