On 21/12/2011 3:37 PM, kbrownk wrote:
> From library(diptest):
Shouldn't the following almost always be non-significant for
Hartigan's dip test?
dip(x = rnorm(1000))
Well, it should be non-significant about 95% of the time
I get dip scores of around 0.0008 which based on p values taken from
the table (at N=1000), using the command: qDiptab, are 0.02< p<
0.05.
Anyone familiar with Hartigan's dip test and what I may not be
understanding?
Why not use dip.test()? When I do that, I see the p-values are almost
all quite large:
hist(replicate(1000, dip.test(x=rnorm(1000))$p.value))
Using runif() gives something apparently on the boundary, as you'd expect:
hist(replicate(1000, dip.test(x=runif(1000))$p.value))
Duncan Murdoch
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