41 lines
1.5 KiB
R
41 lines
1.5 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_pairwise_sharing}
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\alias{get_pairwise_sharing}
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\title{Compute the proportion of (significant) signals shared by magnitude in each pair of conditions, based on the poterior mean}
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\usage{
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get_pairwise_sharing(m, factor = 0.5, lfsr_thresh = 0.05, FUN = identity)
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}
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\arguments{
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\item{m}{the mash fit}
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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{lfsr_thresh}{the lfsr threshold for including an effect in the
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assessment}
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\item{FUN}{a function to be applied to the estimated effect sizes before
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assessing sharing. The most obvious choice beside the default
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'FUN=identity' would be 'FUN=abs' if you want to ignore the sign of the
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effects when assesing sharing.}
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}
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\description{
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Compute the proportion of (significant) signals shared by magnitude in each pair of conditions, based on the poterior mean
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}
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\details{
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For each pair of tissues, first identify the effects that are
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significant (by lfsr<lfsr_thresh) in at least one of the two tissues.
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Then compute what fraction of these have an estimated (posterior mean)
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effect size within a factor \code{factor} of one another. The results are
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returned as an R by R matrix.
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}
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\examples{
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\dontrun{
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get_pairwise_sharing(m) # sharing by magnitude (same sign)
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get_pairwise_sharing(m, factor=0) # sharing by sign
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get_pairwise_sharing(m, FUN=abs) # sharing by magnitude when sign is ignored
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}
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}
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