Description Details Author(s) References Examples
It is a collection of functions for Multiplicty Correction and Multiple Testing.
Package: | someMTP |
Type: | Package |
Version: | 1.2 |
Date: | 2011-01-10 |
License: | GPL (>= 2) |
LazyLoad: | yes |
livio finos
Maintainer: <livio@stat.unipd.it>
For weighted methods:
Benjamini, Hochberg (1997). Multiple hypotheses testing with weights. Scand. J. Statist. 24, 407-418.
Finos, Salmaso (2007). FDR- and FWE-controlling methods using data-driven weights. Journal of Statistical Planning and Inference, 137,12, 3859-3870.
For LSD test:
J. Lauter, E. Glimm and S. Kropf (1998). Multivariate test based on Left-Spherically Distributed Linear Scores. The Annals of Statistics, Vol. 26, No. 5, 1972-1988
L. Finos (2011). A note on Left-Spherically Distributed Test with covariates, Statistics and Probabilty Letters, Volume 81, Issue 6, June 2011, Pages 639-641
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | set.seed(13)
y <- matrix(rnorm(5000),5,1000) #create toy data
y[,1:100] <- y[,1:100]+3 #create toy data
p <- apply(y,2,function(y) t.test(y)$p.value) #compute p-values
M2 <- apply(y^2,2,mean) #compute ordering criterion
fdr <- p.adjust(p,method="BH") #(unweighted) procedure, fdr control
sum(fdr<.05)
fdr.w <- p.adjust.w(p,method="BH",w=M2) #weighted procedure, weighted fdr control
sum(fdr.w<.05)
fwer <- p.adjust(p,method="holm") #(unweighted) procedure, fwer control
sum(fwer<.05)
fwer.w <- p.adjust.w(p,method="BHfwe",w=M2) #weighted procedure, weighted fwer (=fwer) control
sum(fwer.w<.05)
plot(M2,-log10(p))
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