View source: R/anova_analysis.R
separateAdjPval | R Documentation |
Computes the adjusted p-values separately on contrast using CP4P
separateAdjPval(x, pval.threshold = 1.05, method = 1)
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 |
a proteins x contrasts table of adjusted p-values
Thomas Burger
data(Exp1_R25_prot, package='DAPARdata')
exdata <- Exp1_R25_prot[1:5,]
separateAdjPval(testAnovaModels(applyAnovasOnProteins(exdata), "TukeyHSD")$P_Value)
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