
Dear all
I am using scottish lip cancer data, which contains the columns of observed, expected, AFF(person at risk) and latitude and longitude. i use the commands
    >  
 nc<-combine.data.shapefile(data=scotland,shp=shp,dbf=dbf)
###CARBayes package    >    
W.nb<-poly2nb(nc=scotland,row.names=rownames(scotland)) ### spdep
package 

   > W.nb
Out put is 

Neighbour
list object:


Number of
regions: 56 


Number of
nonzero links: 234 


Percentage
nonzero weights: 7.461735 


Average
number of links: 4.178571 


3 regions
with no links:


6554   6655 6756


      >   col.W<-nb2listw(W.nb,style="B",zero.policy=TRUE)


      >   col.W


which gives out put
Error in
print.listw(list(style = "B", neighbours = list(c(5L, 9L, 19L :  regions with no neighbours found, use zero.policy=TRUEwhen i use the command 
>moranI.test(Observed~AFF+offset(log(Expected)),
as(nc, "data.frame"), "negbin", 999, 


   listw=col.W, n=length(W.nb), S0=Szero(col.W)
)


             Moran's I test of
spatial autocorrelation 


             Type of boots.: parametric 

            Model used when sampling: Negative
Binomial 

             Number of simulations: 999 
            Statistic:  NA 
            p-value :  NA
please help if any body has an idea. 



There were 50 or more warnings (use
warnings() to see the first 50)


 		 	   		  
	[[alternative HTML version deleted]]

