Learn R Programming

RNOmni (version 0.1.5)

DINT: Direct-INT

Description

Rank-normalizes the phenotype, then regresses the transformed phenotype on genotype, covariates, and adjustments for population structure.

Usage

DINT(y, G, X, S, k = 3/8)

Arguments

y

Numeric phenotype vector.

G

Snp by obs genotype matrix.

X

Obs by feature covariate matrix.

S

Obs by feature structure matrix.

k

Offset applied during rank-normalization. See rankNormal.

Value

A numeric vector of p-values assessing the null hypothesis of no genotypic effect. P-values are estimated using the Wald statistic, and correspond to the rows of G.

Examples

Run this code
# NOT RUN {
# DINT against normal phenotype 
p = RNOmni::DINT(y=RNOmni::Y[,1],G=RNOmni::G[1:10,],X=RNOmni::X,S=RNOmni::S);
# }

Run the code above in your browser using DataLab