Re: [R] Randomization tests, grouped data

2008-01-11 Thread Tom Backer Johnsen
Johannes Hüsing wrote: > Tom Backer Johnsen <[EMAIL PROTECTED]> [Fri, Jan 11, 2008 at 06:57:41PM CET]: > [...] >>> Are there something that can handle this in R? > > Have you considered the coin package? I'll have a look at it. > >> After a few hours thinking on and off about the problem, I sus

Re: [R] Randomization tests, grouped data

2008-01-11 Thread Greg Snow
but do a lot of the random permutations. Hope this helps, From: [EMAIL PROTECTED] on behalf of Tom Backer Johnsen Sent: Fri 1/11/2008 10:57 AM To: [EMAIL PROTECTED] Subject: Re: [R] Randomization tests, grouped data Tom Backer Johnsen wrote: > The other day

Re: [R] Randomization tests, grouped data

2008-01-11 Thread Charles C. Berry
On Fri, 11 Jan 2008, Johannes H??sing wrote: Tom Backer Johnsen <[EMAIL PROTECTED]> [Fri, Jan 11, 2008 at 06:57:41PM CET]: [...] Are there something that can handle this in R? Have you considered the coin package? After a few hours thinking on and off about the problem, I suspect that the

Re: [R] Randomization tests, grouped data

2008-01-11 Thread Johannes Hüsing
Tom Backer Johnsen <[EMAIL PROTECTED]> [Fri, Jan 11, 2008 at 06:57:41PM CET]: [...] > > Are there something that can handle this in R? > Have you considered the coin package? > After a few hours thinking on and off about the problem, I suspect > that the question may be stupid or silly (or bot

Re: [R] Randomization tests, grouped data

2008-01-11 Thread Tom Backer Johnsen
Tom Backer Johnsen wrote: > The other day I was looking into one of the classics in resampling, > Eugene Edgington's "Randomization Tests". This type of test is simple > to do in R with things like a simple correlation, the sample () > function is perfect for the purpose. > > However, things a

[R] Randomization tests, grouped data

2008-01-11 Thread Tom Backer Johnsen
The other day I was looking into one of the classics in resampling, Eugene Edgington's "Randomization Tests". This type of test is simple to do in R with things like a simple correlation, the sample () function is perfect for the purpose. However, things are more complex if you have grouped da