problem with geepack
Hi, I think in such cases you need to use the 'wave' parameter (wave = Date), but I must admit I found contradictory comments on how missing values are treated in geepack. Does someone know what geepack is doing with missing values? Popko
Giacomo Santini wrote:
Hi all I am analyzing a data set containing information about the behaviour of marine molluscs on a vertical wall. Since I have replicate observations on the same individuals I was thinking to use the geepack library. The data are organised in a dataframe with the following variables Date = date of sampling, Size = dimensions (mm) Activity duration of activity (min) Water = duration of splashing by waves Hgt = resting eight of each specimen before activity begin Individual = a code indicating the id of the specimen. I have up to 12 replicate observations for individual. Some observation are missing and I organized the data frame to have exactly 12 rows for each specimen, with NAs where there is a missing observation. The following model worked fine: gee1<-geese(Activity~Water, id=Individual, data=dataF, family=gaussian) but when I use other variables e.g gee2<-geese(Activity~Hgt+Size+Water, id=Individual, data=dataF, family=gaussian) I get the error message "Error in geese.fit(x, y, id, offset, soffset, w, waves, zsca, zcor, corp, : nrow(zsca) and length(y) not match" which I am not able to understand. The same problem has been reported in the list in 2006, but I have not found any response to it. Any suggestion? Giacomo
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