Extract a matrix of model coefficients/standard errors
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.
## S3 method for class 'DESeqDataSet' coef(object, SE = FALSE, ...)
object |
a DESeqDataSet returned by |
SE |
whether to give the standard errors instead of coefficients. defaults to FALSE so that the coefficients are given. |
... |
additional arguments |
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").
Michael Love
dds <- makeExampleDESeqDataSet(m=4) dds <- DESeq(dds) coef(dds)[1,] coef(dds, SE=TRUE)[1,]
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