[R] comparing real set vs sampled sets

[PQuery]

Dear R helper,

I have a statistic question. 
I have a vector of 500 values for which I need to assess the statistical
significance of occurrence

real.dist <- realValues

For that, I sampled from my data large data pool 1000 other vectors of 500
values each.

I then run ks.test with my real vec vs each of the sampled vectors.

ks.res<-unlist(lapply(l.sampled,function(x){
  ks <- ks.test(real.dist, x$dist)
  as.numeric(ks[["statistic"]])
}))

I now have 1000 "D" values with their corresponding p.values. How can I have
a general p.value saying that
my real data differs from the sampled one, and thus significant ?

Any suggestion ?
Many thanks,




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