Dear everybody, I'm using stats package (version 3.5.2) and in detail their p.adjust() function in order to control the false discovery rate in multiple comparisons. In particular I used the Benjamini-Hochberg method.
Nevertheless, the help of the stats package indicates that the adjusting method is based on: Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B, 57, 289–300. http://www.jstor.org/stable/2346101. But, in the function mentioned above (p.adjust()) there are no possibiity to define the Q value (the false discovery rate). I understand that the Q value is calculated automatically but through which method??? For example, in another package (sgof v.2.3 also deposited on CRAN) indicates that the the false discovery rate is estimated by the method developed by: Dalmasso C, Broet P and Moreau T (2005). A simple procedure for estimating the false discovery rate. *Bioinformatics* 21:660--668. Many thanks for your help, David Bars. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
