Computes the adjusted p-values separately on contrast using CP4P

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

Thomas Burger

Examples

data(Exp1_R25_prot, package='DaparToolshedData')
exdata <- Exp1_R25_prot[1:5,]
separateAdjPval(testAnovaModels(applyAnovasOnProteins(exdata, 1), "TukeyHSD")$P_Value)
#> Procedure of Benjamini-Hochberg is used. pi0 is fixed to 1.
#>           V1_pval
#> [1,] 0.7209545661
#> [2,] 0.8916825703
#> [3,] 0.0001321402
#> [4,] 0.1253349546
#> [5,] 0.8916825703