On Jul 5, 2012, at 9:30 PM, "qinjiaolong"<qinjiaol...@126.com> wrote:
> Dear Michael, > > Thanks a lot for your help. As I searched, the âscorâ function is a > robust correlation, which is cited by Wilcox, R.R., Inferences Based on a > Skipped Correlation Coefficient. Journal of Applied Statistics, 2004. 31(2): > p. 131-143. Thank you very much again. I believe this page has install information for the package connected to that text: http://r-forge.r-project.org/R/?group_id=468 Michael > > Best wishes! > Jiao long > > å件人ï¼R. Michael Weylandt > åéæ¶é´ï¼2012-07-05 23:28 > 主é¢ï¼Re: [R] skipped correlation > æ¶ä»¶äººï¼"qinjiaolong"<qinjiaol...@126.com> > æéï¼"R-help"<R-help@r-project.org> > > library(sos) > findFun("scor") > > will get you going in the right direction but I'm not sure I see a > "scor" function (I presume you're looking for the robust correlation > metric). Do you have a citation for such a function? For a work > around, robust::covRob gives robust covariance which possibly could be > scaled down to correlation. > > Best, > Michael > > On Thu, Jul 5, 2012 at 8:49 AM, qinjiaolong <qinjiaol...@126.com> wrote: > > hello,Everyone! > > I am a freshman to use R. Can anybody tell me where has scor function which > > achieves the skipped correlation? > > Thank you very much! > > > > Bset wishes! > > Jiaolong Qin > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. [[alternative HTML version deleted]]
______________________________________________ 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.
