[R] multiple-test correlation
Greg.Snow at imail.org
Tue Feb 16 01:50:59 CET 2010
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
greg.snow at imail.org
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Manuel Jesús López Rodríguez
> Sent: Sunday, February 14, 2010 5:35 AM
> To: r-help at 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!
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