README.md

In carlosgarciaprieto/GSAfishercombined: Gene Set Analysis with Fisher Combined Method

GSAfisherCombined

Definition

Provides the p-value for a joint test of association between a phenotype and a set of genetic variants (SNPs) by combining marginal p-values using the Fisher method. See Fisher, R.A. (1925) Statistical Methods for Research Workers.

Installation

From GitHub

library(devtools)
install_github("carlosgarciaprieto/GSAfisherCombined")

GSAfisher.default

Description

Default method of GSAfisher function that computes the p-value for a joint test of association between a phenotype and a set of genetic variants (SNPs) by combining marginal p-values using the Fisher method.

Usage

## Default S3 method:
GSAfisher(x,...)

Arguments

x = Numeric set of marginal p-values (one vector or a sinlge p-value).
... = Further arguments passed to or from other methods.

Value

p = Fisher method combined p-value.

Example

#Generate 1000 random values from an Uniform distribution U (0, 0.25). 
x<-runif(1000, 0, 0.25)
#Apply the GSAfisher.default function to this data vector.
GSAfisher(x)

carlosgarciaprieto/GSAfishercombined documentation built on May 14, 2019, 5:13 a.m.