standardizeBeta: Derive betas in the standardized model from betas in the...

In vincela/VarExp: Computes phenotypic variance explained by a set of genetic and/or interaction effects

Description

Derive betas in the standardized model from betas in the general model

Usage

standardizeBeta(betaG, betaINT, maf, meanE, varE, type)

Arguments

betaG	is the vector of main genetic effects in the general model
betaINT	is the vector of interaction effects in the general model
maf	is the vector of the variants' frequency
meanE	is the mean of the exposure
varE	is the variance of the exposure
type	designates the coefficients to standardize: "G" for the main genetic effect and "I" for the interaction effects

Value

The vector of standardized effects

Examples

betaGs = rnorm(10, 0, 0.1)
betaIs = rnorm(10, 0, 0.05)
mafs = runif(10,0.05,0.95)
meanE = runif(1,-2,2)
varE = runif(1,0.5,1.5)
std_betaG = standardizeBeta(betaGs, betaIs, mafs, meanE, varE, "G")
std_betaI = standardizeBeta(betaGs, betaIs, mafs, meanE, varE, "I")

## Not run: 
std_betaI = standardizeBeta(betaGs, betaIs, mafs, meanE, varE, "anything different from G or I")

## End(Not run)

vincela/VarExp documentation built on May 29, 2019, 12:42 p.m.