fdp-pwr: Calculates false-discovery proportions and statistical power
In dipterix/focr: A False Overlapped-Cluster Rate Control ('FOCR') Framework

Description Usage Arguments Value Examples

Calculates false-discovery proportions and statistical power

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fdp(rej, support)

pwr(rej, support)

`rej`	integer indices of rejected hypotheses
`support`	integer indices of the underlying true hypotheses (with true alternative hypotheses)

fdp returns the false-discovery proportions and pwr returns statistical power

# Underlying support is the first 100 hypotheses, but the rejection is
# 2 to 101
support <- 1:100
rejection <- c(2:101)

# Total rejection (length(rejection)) is 100; false rejection is 1
# FDP = 1/100
fdp(rejection, support)

# True positives = 99, total true hypotheses is 100
# power is 99/100
pwr(rejection, support)