DiscreteFDR (version 1.3-4)

match.pvals: Matching raw p-values with supports

Description

Constructs the observed p-values from the raw observed p-values, by rounding them to their nearest neighbor matching with the supports of their respective CDFs (as in function p.discrete.adjust of package discreteMTP). The end user should not use it.

Usage

match.pvals(pCDFlist, raw.pvalues)

Arguments

pCDFlist

a list of the supports of the CDFs of the p-values. Each support is represented by a vector that must be in increasing order.

raw.pvalues

vector of the raw observed p-values, as provided by the end user and before matching with their nearest neighbor in the CDFs supports.

Value

A vector where each raw p-value has been replaced by its nearest neighbor.

Details

Well computed raw p-values should already belong to their respective CDF support. So this function is called at the beginning of DBH, ADBH, and DBR, just in case raw p-values are biased.

For each raw p-value that needs to be rounded, a warning is issued.

This version: 2017-08-16.

See Also

discrete.BH, DBR

Examples

# NOT RUN {
toyList <- list(c(0.3,0.7,1),c(0.1,0.65,1))
toyRaw1 <- c(0.3,0.65)
match.pvals(toyList,toyRaw1)
toyRaw2 <- c(0.31,0.6)
match.pvals(toyList,toyRaw2)

# }