Iasonas: On Sun, Jan 8, 2012 at 12:01 AM, Iasonas Lamprianou <[email protected]> wrote: > Dear all, > I am not sure if this is the right place to ask this question, but I will > have a go. Please redirect me to a different place if this is not the right > one! > > I have a (relatively) simple problem which causes me some frustration because > I cannot find the solution. I measure ten variables (var1 to var10) every > day, they are all continuous (linear) and most of them are correlated. Some > days, for any reason, the relationship between these variables may change. > They are still correlated, but their correlation may change slightly but > practically this is important. Or, one of the variables may increase its > value significantly suddenly and keep this high value for a few days and then > come back to the normal level. I am using R. Is there any function I can use > to help me identify these strange days when the relationship between these > variables changes?
No. The onboard hardware and software inside your cranium must first more carefully define and structure the problem in order to determine what external software to use. -- Bert For example, if DayX is such a strange day, factor analyzing the data before DayX and after DayX separately would give me different factors (princial components). But how can I identify such a daym without trial and error? > > Thank you for the help... > > > Dr. Iasonas Lamprianou > Department of Social and Political Sciences > University of Cyprus > > [[alternative HTML version deleted]] > > > ______________________________________________ > [email protected] 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. > -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ [email protected] 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.
