Why daisy() in cluster library failed to exclude NA when computing dissimilarity

Hi,


According to daisy function from cluster documentation, it can compute
dissimilarity when NA (missing) value(s) is present.

http://stat.ethz.ch/R-manual/R-devel/library/cluster/html/daisy.html

But why when I tried this code

library(cluster)
x <- c(1.115,NA,NA,0.971,NA)
y <- c(NA,1.006,NA,NA,0.645)
df <- as.data.frame(rbind(x,y))
daisy(df,metric="gower")

It gave this message:

Dissimilarities :
   x
y NA

Metric :  mixed ;  Types = I, I, I, I, I
Number of objects : 2
Warning messages:
1: In min(x) : no non-missing arguments to min; returning Inf
2: In max(x) : no non-missing arguments to max; returning -Inf

I welcome other alternative than gower.

I expect the dissimilarity output gives a non-NA value e.g. 0. What's
the right way to do it?

G.V.