separateAdjPval: Computes the adjusted p-values separately on contrast using...

View source: R/anova_analysis.R

separateAdjPvalR Documentation

Computes the adjusted p-values separately on contrast using CP4P

Description

Computes the adjusted p-values separately on contrast using CP4P

Usage

separateAdjPval(x, pval.threshold = 1.05, method = 1)

Arguments

x

a proteins x contrasts dataframe of (raw) p-values

pval.threshold

all the p-values above the threshold are not considered. Default is 1.05 (which is equivalent to have no threshold). Applying a threshold nearby 1 can be instrumental to improve the uniformity under the null, notably in case of upstream mutliple contrat correction (for experienced users only)

method

a method to estimate pi_0, see CP4P

Value

a proteins x contrasts table of adjusted p-values

Author(s)

Thomas Burger

Examples

data(Exp1_R25_prot, package='DAPARdata')
exdata <- Exp1_R25_prot[1:5,]
separateAdjPval(testAnovaModels(applyAnovasOnProteins(exdata), "TukeyHSD")$P_Value)


prostarproteomics/DAPAR documentation built on Oct. 11, 2024, 12:03 p.m.