Hi, On Wed, Jan 19, 2011 at 9:59 AM, Alaios <ala...@yahoo.com> wrote: > Dear Josh, > I would like to thank you for your reply. > > > I think that it is clear that I miss a lot of theory. I have tried in google > to read and study more about covariance but I have this feeling that the term > 'covariance' is used for many different things in different topics. > > You mentioned for example population and sample (covariance) which are two > words-terms that I can not distinguish between them. > > Even though this is R list could you please provide me some differences to > study more about covariance before trying to implement things in R.
Free online intro to statistics class: http://webcast.berkeley.edu/course_details_new.php?seriesid=2009-D-87303 Or, if you prefer iTunes: http://itunes.apple.com/us/itunes-u/statistics-2-001-fall-2009/id354822870 > (Even in R are some things that do not understand i.e pearson, kendal and > spearman method) It's not R that you're not understanding ... if you want to use R for statistics, you need to first learn a bit about statistics. You won't suddenly be able to "do statistics" just by learning how to use R. Sorry, there's no shortcut on this one. Good luck, -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
