wilcox.fit: wilcox.fit

In xinchoubiology/Rcppsva: Rcpp Integration Surrogate Variable Analysis

Description

calculate wolcoxon signed rank sum test for each CpG probes of microarray; support multiple core parallism calculation.

Usage

wilcox.fit(dat.m = NULL, alternative = c("two.sided", "greater", "less"),
  qvalue0 = 0.1, mcore = 4)

Arguments

dat.m	n x m delta M|beta matrix for n CpG sites across 2*m paired different patient samples
alternative	a character string specifying the alternative hypothesis; c("two.sided", "greater", "less") and "two.sided" is default
qvalue0	false discovery rate's threshold; Default = 0.1
mcore	Cpu cores can be used in test

Details

If our data is paired, wilcoxon rank test can be used to test the significnat of sites

Value

res list siggene data.frame null data.frame

Author(s)

Xin Zhou

xinchoubiology/Rcppsva documentation built on May 4, 2019, 1:06 p.m.