search for: qdiptab

Hi, I just got a value for the dip test out of my data of 0.074 for a sample size of 33. I'm trying to work out what this actually means though? Could someone help me relate this to a p-value? Thanks James

>From library(diptest): Shouldn't the following almost always be non-significant for Hartigan's dip test? dip(x = rnorm(1000)) 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? Thanks, kbrownk

...is distributed approximately as sqrt(100)*D*F(100) which has 90% point 0.474. Thus D*F(63) has 90% point 0.060. )" It is the value of 0.474 that I am unable to get. Table 1 is a table of percentage points for various sample sizes. The same table is provided in the diptest package as 'qDiptab' (but at greater accuracy). n=63 is not tabled but n=50 and 100 are. In the table for n=100 the value given for 90% is 0.0471 so where does the 0.474 come from? Any help appreciated! Kylie. [1] Hartigan JA & Hartigan PM. "The Dip Test of Unimodality", The Annals of Statistics...

...ty To: j.sansom@niwa.co.nz Cc: r-help@stat.math.ethz.ch Message-ID: <Pine.LNX.4.64.0908310017460.8370@egon.stats.ucl.ac.uk> Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed Dear John, you may check dip in package diptest, which tests unimodality vs. multimuodality (you'll need qDiptab for that, too). Apologies if this misses the point; I only saw the last responses but not the original question so this may not be what you are after, or already mentioned, but I decided that I risk making a fool of myself for a small chance that it helps you. Cheers, Christian On Mon, 31 Aug...