?p.adjust -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Manuel Jesús López Rodríguez > Sent: Sunday, February 14, 2010 5:35 AM > To: r-help@r-project.org > Subject: [R] multiple-test correlation > > Dear all, > I am trying to study the correlation between one "independent" variable > ("V1") and several others dependent among them ("V2","V3","V4" and > "V5"). For doing so, I would like to analyze my data by multiple-test > (applying the Bonferroni´s correction or other similar), but I do not > find the proper command in R. What I want to do is to calculate > Kendall´s correlation between "V1" and the others variables (i.e. "V1" > vs "V2", "V1" vs "V3", etc.) and to correct the p values by Bonferroni > or other. I have found "outlier.test", but I do not know if this is > what I need (also, I would prefer to use a less conservative method > than Bonferroni´s, if possible). > Thank you very much in advance! > > > ______________________________________________ > 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.