question about nb2listw row standardization

I was hoping for a clarification on the row standardization of nb2listw. 
I have implemented a nb list based on distance, and a function

dlist <- nbdists(col.gal.nb, coords)
dlist <- lapply(dlist, function(x) 1/x)

my question is, if I call

Wa <- nb2listw(x, glist = dlist, style = "W")
Wb <- nb2listw(x, glist = dlist, stlye = "B")

is Wa then row standardized based on inverse distance or does the glist 
override this and I get actual undstandardized inverse distance weights? 
Also, would Wb actually be binary, or does the glist argument override 
this to make the weights 1/x instead of 1's and 0's?  If my goal is to 
maintain the actual inverse distance weight without standardization (for 
better economic interpretation), does Wb give me an unstandardized W, or 
do I need to call a different function to avoid row standardization? 
If my goal IS to row standardize a weights matrix with weights based on 
inverse distance, then is Wa the correct function call?  Mainly I was 
having trouble interpreting the help file for nb2listw as to whether 
style = "B"  always creates 1's and 0's regardless of what glist is set 
to.  Thanks
Please do check:

library(spdep)
example(columbus)
coords <- coordinates(columbus)
dlist <- nbdists(col.gal.nb, coords)
dlist <- lapply(dlist, function(x) 1/x)
Wa <- nb2listw(col.gal.nb, glist = dlist, style = "W")
Wb <- nb2listw(col.gal.nb, glist = dlist, style = "B")
summary(sapply(Wa$weights, sum))
summary(sapply(Wb$weights, sum))

"W" row standardises the general weights, "B" passes through general 
weights. IDW are perverse, and without - contrary to your assertion - 
economic meaning, because the scaling depends closely on the metric of 
the coordinates:

summary(unlist(dlist))

are all < 1.

Roger
Drew

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Roger Bivand
Department of Economics, Norwegian School of Economics,
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question about nb2listw row standardization

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