Find differential exon usage, etc.

edger_group_confects(fit, group_id, group_effect, fdr = 0.05, step = 0.01)

limma_group_confects(object, group_id, group_effect, fdr = 0.05,
step = 0.01, trend = FALSE)

## Arguments

fit For edgeR, an edgeR DGEGLM object. A factor of length nrow(fit), assigning items to groups (eg genes). A group effect object created by one of the A group_effect_... functions. False Discovery Rate to maintain. Step size when calculating confident effect sizes. For limma, an expression matrix or EList object, or anything limma's lmFit will accept. For limma, should eBayes(trend=TRUE) be used?

## Value

See nest_confects for details of how to interpret the result.

## Details

If the order of the members of a group is important, ensure the order of rows is correct in the original matrix.

Groups with less than two members will be ignored.

To construct a group design matrix, the design from fit will be repeated in a block diagonal matrix.