% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mash-evaluation.R
\name{get_GxE}
\alias{get_GxE}
\title{Get data frames of types of GxE from a mash object}
\usage{
get_GxE(m, factor = 0.4, thresh = 0.05)
}
\arguments{
\item{m}{An object of type mash}

\item{factor}{a number between 0 and 1. The factor within which effects are
considered to be shared.}

\item{thresh}{Numeric. The threshold for including an effect in the assessment}
}
\value{
A list containing eight data frames. Those with names that start
"S_" contain significant effects of different types between pairs of
named rows and columns. S_all_pairwise contains all significant effects;
NS_pairwise contains all non-significant effects. S_CN contains effects
significant in only one condition, and effects with a significantly
different magnitude (differential sensitivity). This dataframe is not
conservative using the local false sign rate test - we can't determine
the sign of one of the effects for effects significant in only one
condition - so it's not recommended to use this, but included. S_2_no
contains effects significant in both conditions that do not differ
significantly in magnitude. These effects do not have GxE. S_AP contains
effects significant in both conditions that differ in their sign - and
have antagonistic pleiotropy. S_DS contains effects significant in both
conditions that differ in the magnitude of their effect, but not their
sign - differentially sensitive alleles. S_1_row and S_1_col contain
effects that are significant in just one of the two conditions - the row
or the column, respectively.
}
\description{
Performs set operations to determine pairwise GxE for effects
from a mash object.
}