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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