partial_correlations: This function calculates the epistatic correlations in a...

In victorcarmelo/WISH: Network construction of whole genome genotype data using the WISH network method

Description

Internal function for calculating epsitatic correlations in sub-matrices

Usage

partial_correlations(genotype,genotype_rev,phenotype,coords,model)

Arguments

genotype	Dataframe with the genotype information, resulting from the function generate.genotype(). Make sure that the dataframe contains the same individuals as in the phenotype-file, and that those are in the same order.
genotype_rev	Same as genotpye but with reversed genotype coding
phenotype	Dataframe with the rows correspinding to the individuals in the analysis,and columns for the different measured phenotypes and fixed/random factors. Phenotypes should be continous variables.
coords	Matrix of row split coordinates for subseting input space
model	Specification controlling if MM or Mm directed interaction model is used.

Value

Epsitatic correlations and P-values for the selected set or subset of the data

Examples

partial_correlations <- function(genotype,genotype_rev,phenotype,coords,model)

victorcarmelo/WISH documentation built on May 3, 2019, 6:11 p.m.