pmaxT: Ajusted p-values for step down multiple testing

Description Usage Arguments Author(s) See Also

View source: R/pmaxT.R

Description

Function which implements a parallel version of the multtest "mt.maxT" function. It computes the adjusted p-values for step-down multiple testing procedures.

N.B. Please see the SPRINT User Guide for how to run the code in parallel using the mpiexec command.

Usage

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pmaxT(X, classlabel, test = "t", side = "abs", fixed.seed.sampling = "y", 
      B = 10000, na = .naNUM, nonpara = "n") 

Arguments

X

double precision 2D array of data

classlabel

class column labels of the input data array

test

one of the following statistical test: t. t.equalvar, Wilcoxon, F, Pair-T, Block-F

side

Type of rejection region, either abs, upper or lower

fixed.seed.sampling

whether the permutations are calculated on the fly or save to memory

B

number or permutations

na

missing value tag

nonpara

whether non-parametric test statistics or not

Author(s)

University of Edinburgh SPRINT Team [email protected] www.r-sprint.org

See Also

mt.maxT SPRINT


sprint documentation built on May 30, 2017, 8:25 a.m.