# coef: Extract a matrix of model coefficients/standard errors

## Description

**Note:** results tables with log2 fold change, p-values, adjusted p-values, etc.
for each gene are best generated using the `results`

function. The `coef`

function is designed for advanced users who wish to inspect all model coefficients at once.## Usage

## S3 method for class 'DESeqDataSet':
coef(object, SE = FALSE, ...)

## Arguments

SE

whether to give the standard errors instead of coefficients.
defaults to FALSE so that the coefficients are given.

## 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.,
`attr(dds, "modelMatrix")`

.## Examples

dds <- makeExampleDESeqDataSet(m=4)
dds <- DESeq(dds)
coef(dds)[1,]
coef(dds, SE=TRUE)[1,]