prepare.tabulated.fisher: prepare.tabulated.fisher

In favorov/differential.coverage: Differential Coverage package

Description

forms the dataframe (tabulated.fisher) with the tabulted results for all possible Fisshe exact tests with Y and N numbers of cases and controls

Usage

prepare.tabulated.fisher(Y, N, folder = ".", load = TRUE, save = TRUE)

Arguments

Y	cases# , e.g. number of cancer samples
N	controls#
folder	(default .)
load	(default TRUE) logical. If TRUE, we try to load file tabulated.fisher.Y.N.dat
save	(default TRUE) logical. If TRUE, we save the tabulated.fisher to file tabulated.fisher.Y.N.dat

Details

each row gives statistics (p-value, etc) for a 4-pole table:

MY	MN
Y-MY	N-MN

MY is methylated-positive and MN is methylated-negative (normal) we want to represent all the Fishers as a (Y+1) rows * (N+1) cols matrix. MY=0..Y MN=0..N then, we map it to 1..(MY+1)(MN+1), and it is the row index

Value

the tabulated.fisher dataframe

favorov/differential.coverage documentation built on Feb. 18, 2022, 5:50 p.m.