nsignif.DEswan: Calculate number of significant variables for a set of...

In lehallib/DEswan: Differential Expression Sliding Window ANalaysis

Description

Calculate number of significant variables for a set of pvalues thresholds

Usage

nsignif.DEswan(res.DEswan.wide, thresholds)

Arguments

res.DEswan.wide:	a data Frame - pvalues or qvalues from DEswan in a wide format
thresholds:	a Vector - p or q-values thresholds. Default is c(0.05,1e-2,1e-3,1e-4,1e-5)

Examples

res.DEswan=DEswan(data.df = agingplasmaproteome[,-c(1:3)],
qt = agingplasmaproteome[,1],
window.center = seq(40,100,10),
buckets.size = 10,
covariates = agingplasmaproteome[,c(2:3)])
res.DEswan.wide.p=reshape.DEswan(res.DEswan,parameter = 1,factor = "qt")
res.DEswan.wide.p.signif=nsignif.DEswan(res.DEswan.wide.p)
head(res.DEswan.wide.p.signif)

lehallib/DEswan documentation built on Oct. 5, 2020, 9:51 p.m.