Re: [R] dixon test

I would like to extend Dixon's values beyond 30. I've read over Rorabacher article but didn't understand the equations well enough to convert them to Excel and then "drag" the cells out extending the n. Rorabacher,_1991.pdf Dea

Re: [R] dixon test

Steve, thank you so much for very very useful helps and comments! for my research I used a surrogate approach (number of surrogates=100) and I made a comparison among index values (very similar to a correlation index computed with a second known signal ) from my original data and from surrog

Re: [R] dixon test

giov, It sounds like you have approximately symmetric distributions. If that is so, and particularly if the standard deviation is less than about 20% of the mean, I'll stick my neck out and say I would assume underlying normality for outlier testing purposes unless there's a reason to do otherwise

Re: [R] dixon test

Thank you so much, I have not much experience on outliers =), I thought that there were nonparametric distribution-free outliers test =(. What is the most general distribution I can use? I did histogram of my data set and sometimes normal distribution seems to occur, sometimes an uniform distribu

Re: [R] dixon test

>>> giov <[EMAIL PROTECTED]> 13/08/2008 10:59:32 >>> > just a question...I don't know >what is the distribution of my data (normal, T, etc...). So, how can I set >the type parameter? You must assume an underlying distribution or you can't do an outlier test. Outliers are just unusually extrem

Re: [R] dixon test

Hi, thank you very much for your useful help =). just a question...I don't know what is the distribution of my data (normal, T, etc...). So, how can I set the type parameter? There is a type value to use in case of a distribution-free statistical test? Thank you so much! Fernando Marmolejo-Ram

Re: [R] dixon test

hi giov about the dixon test... i just run a simple test with a sample of 40 and I got: Error in dixon.test(x) : Sample size must be in range 3-30 So it seems that most of the test in the "outliers" package are designed for small samples. See also the Rnews article published in May 2006 (vol 6/

[R] dixon test

Hi, I need some help using the R outliers package. I would like to perform a Q-test (Dixon test) on my data set. I used the dixon.test function, but I cannot understand what is the confidence level used to perform the test. I have n=101 (n= number of data). So, can I use directly dixon.test ? What