[R] how to use normalmixEM to get correct result?

[bgchen]

Dear R-Users,
    I have a large number of data(54000) and the field of data is  50 to 2.0e9. I want to use normalmixEM (package:mixtools) to fit them in finite mixture narmal distributions,but get some mistakes.I don't know which steps make the error.
	I have used the following functions before 
	>x<-read.table("data")
	>log.x<-log10(x$V1)
    >log.x<-sort(log.x)
    >outx = normalmixEM(log.x,arbmean = TRUE, arbvar = TRUE, k=2,epsilon = 1e-03,maxit = 10000, verb = FALSE)
	The output is given as:
	Need new starting values due to singularity... 
	Need new starting values due to singularity... 
    Need new starting values due to singularity... 
    error in normalmixEM(log.x, arbmean = TRUE, arbvar = TRUE, k = 2, epsilon = 0.001,  : 
        Too many tries!


Thanks for the help
   
 				

　　　　　　　  bob
　　　　　　　　bgchen at scut.edu.cn
　　　　　　　　　　2007-10-15