First of all, thank you for your reply and for the links. I see that my problem might be overly detailed in its description and not very clear in its outlines.
In fact the question was: If there is any existing module for R to evaluate data, with parameters being only boolean values. (Which u get from answered question-forms) Evaluate would mean - to uncover any significant relationships between the sets, with possible user customization I agree that in itself it is not a technical R question, however I believe that it is a very common statistical task (evaluating closed question forms) that thousands of researchers have to perform every day (in medicine, social sciences, business, etc..), so I have hoped, that someone in the R community deemed it to be important enough to write a module for it. John Kane-2 wrote: > > It really in not an R question. It's much more complicated. > > You need to consult with a subject matter specialist and a statistical > consultant for this. If you do not have access to a statistical specialist > you might want to ask for advice on the news group sci.stats.consult. > > I'd suggest having the equivalent of an introduction and methods section > for the study written up and available (say on a handy posting site like > media fire http://www.mediafire.com/ or mytempdir.com > http://www.mytempdir.com ) so that anyone reading your posting has some > idea of what is the purpose of the study and the general details of what > was done. > > > > > > --- On Fri, 8/1/08, vlasto <[EMAIL PROTECTED]> wrote: > >> From: vlasto <[EMAIL PROTECTED]> >> Subject: [R] Smartest way to evaluate question forms >> To: r-help@r-project.org >> Received: Friday, August 1, 2008, 10:56 AM >> Hi, >> I'm trying to help a friend who is doing a thesis in a >> nurse college, to >> evaluate medical question forms. >> There are about 30 questions giving more than 110 >> parameters to describe >> each responding person's (gender, health etc.) and >> there are about 120 >> question forms to evaluate. >> I have basically 2 questions. >> 1. What to search for. >> 2. How to evaluate it statisticaly. >> >> As for No. 1. I have these ideas. >> To search for significant groups. Meaning, that i would >> like to find all >> "significant" groups that have a certain criteria >> in common. F.e. All men, >> that have a good doctor patient relationship. The idea is >> to fix 1,2,3,4 or >> five parameters f.e. white divorced men in their 60s and to >> look for any >> other significant parameters (meaning one or multiple) they >> have in common >> (where I can set some significance boundary) >> >> Later on, i would like to look up question forms with the >> highest number of >> common parameters and find the parameters with the highest >> and lowest rate >> of divergence. >> Eventually it might be interesting to look for some >> correlations between 2 >> and more parameters. >> >> As for No. 2 I would like to know if there is a R module >> having performing >> this kind of tasks. >> I think the problem could be analyzed by treating all the >> params as a >> binomial tree and then measure length and repetition of >> certain path >> segments >> >> I have written a simple prog in VBasic to do the first part >> of the analysis, >> but i would be thankful for any hint or advice regarding >> this problem, >> especially any info about existing solutions with R. >> -- >> View this message in context: >> http://www.nabble.com/Smartest-way-to-evaluate-question-forms-tp18776233p18776233.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, >> reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- View this message in context: http://www.nabble.com/Smartest-way-to-evaluate-question-forms-tp18776233p18794139.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.