40 lines
1.7 KiB
R
40 lines
1.7 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/mash-evaluation.R
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\name{get_GxE}
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\alias{get_GxE}
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\title{Get data frames of types of GxE from a mash object}
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\usage{
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get_GxE(m, factor = 0.4, thresh = 0.05)
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}
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\arguments{
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\item{m}{An object of type mash}
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\item{factor}{a number between 0 and 1. The factor within which effects are
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considered to be shared.}
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\item{thresh}{Numeric. The threshold for including an effect in the assessment}
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}
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\value{
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A list containing eight data frames. Those with names that start
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"S_" contain significant effects of different types between pairs of
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named rows and columns. S_all_pairwise contains all significant effects;
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NS_pairwise contains all non-significant effects. S_CN contains effects
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significant in only one condition, and effects with a significantly
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different magnitude (differential sensitivity). This dataframe is not
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conservative using the local false sign rate test - we can't determine
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the sign of one of the effects for effects significant in only one
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condition - so it's not recommended to use this, but included. S_2_no
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contains effects significant in both conditions that do not differ
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significantly in magnitude. These effects do not have GxE. S_AP contains
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effects significant in both conditions that differ in their sign - and
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have antagonistic pleiotropy. S_DS contains effects significant in both
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conditions that differ in the magnitude of their effect, but not their
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sign - differentially sensitive alleles. S_1_row and S_1_col contain
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effects that are significant in just one of the two conditions - the row
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or the column, respectively.
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}
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\description{
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Performs set operations to determine pairwise GxE for effects
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from a mash object.
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}
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