r - Missing values are not allowed in subscripted assignments of data frames in MCMCglmm package -


i using mcmcglmm package generalized linear models. here codes , final_kirc_met_act includes pathway scores.

> g<-factor(g, levels=c("male","female"), labels=c(0,1))  > data<-cbind(final_kirc_met_act, g)  > data2<-as.data.frame(data)  > head(data2)               m00001_c00022 m00002_c00022 m00003_c05345 m00004_r02739 m00006_c00199 m00007_c00117 m00009_r00342,r00361 tcga-6d-aa2e  0.0001438301   0.004029765  0.0002290721  0.0004104972    0.02246794     0.1467008         1.703306e-04 tcga-a3-3306  0.0001619469   0.003969637  0.0001457640  0.0003494476    0.02197964     0.1260309         9.222817e-05 tcga-a3-3307  0.0001403204   0.003569992  0.0002373946  0.0003091625    0.02021713     0.1249811         8.646219e-05 tcga-a3-3308  0.0001105221   0.002883832  0.0001282293  0.0003436197    0.02256994     0.1214749         9.128686e-05 tcga-a3-3311  0.0001468475   0.003847826  0.0001714674  0.0003078584    0.02247165     0.1173292         9.803733e-05 tcga-a3-3313  0.0001223408   0.003363544  0.0002314604  0.0002821620    0.01696295     0.1273991         1.616942e-04 ...

when applied mcmcglmm error below:

> model<-mcmcglmm(final_kirc_met_act~g,data=data2)  error in `[<-.data.frame`(`*tmp*`, , response.names, value = c(0.000143830145988399,  :    missing values not allowed in subscripted assignments of data frames

but when control data there no missing values 

> table(is.na(final_kirc_met_act))  false  50496  > table(is.na(g))  false    526    table(is.na(data2))  false  51022

can me?


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