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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\name{coef.DESeqDataSet}
\alias{coef.DESeqDataSet}
\title{Extract a matrix of model coefficients/standard errors}
\usage{
\method{coef}{DESeqDataSet}(object, SE = FALSE, ...)
}
\arguments{
\item{object}{a DESeqDataSet returned by \code{\link{DESeq}}, \code{\link{nbinomWaldTest}},
or \code{\link{nbinomLRT}}.}
\item{SE}{whether to give the standard errors instead of coefficients.
defaults to FALSE so that the coefficients are given.}
\item{...}{additional arguments}
}
\description{
\strong{Note:} results tables with log2 fold change, p-values, adjusted p-values, etc.
for each gene are best generated using the \code{\link{results}} function. The \code{coef}
function is designed for advanced users who wish to inspect all model coefficients at once.
}
\details{
Estimated model coefficients or estimated standard errors are provided in a matrix
form, number of genes by number of parameters, on the log2 scale.
The columns correspond to columns of the model matrix for final GLM fitting, i.e.,
\code{attr(dds, "modelMatrix")}.
}
\examples{
dds <- makeExampleDESeqDataSet(m=4)
dds <- DESeq(dds)
coef(dds)[1,]
coef(dds, SE=TRUE)[1,]
}
\author{
Michael Love
}
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