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proteomicdesign (version 2.0)

do.one.experiment: Simulation function for calculate the expected number of detectable proteins from the three stage proteomic study using group information

Description

The Monte Carlo simulated objective function for the optim.two.stage.group().

Usage

do.one.experiment(initial, optimize = TRUE)

Arguments

initial
The design parameters selected at the current search
optimize
The logical variable for the output: when it is true, the output is the expected number of proteins with the true effects.