sprint (version 1.0.7)

pmaxT: Ajusted p-values for step down multiple testing

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

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

See Also

mt.maxT SPRINT