apply groups to SummarizedExperiments — group_by.SummarizedExperiment • biocmask

create grouping variables about the rowData and colData of a SummarizedExperiment object. Unlike the data.frame method the resulting output class is left unchanged. Thus dplyr generics for SummarizedExperiment must check grouping information manually.

Usage

# S3 method for class 'SummarizedExperiment'
group_by(.data, ..., .add = FALSE)

# S3 method for class 'SummarizedExperiment'
ungroup(x, ...)

Arguments

.data: a SummarizedExperiment object
...: contextual expressions specifying which columns to ungroup. Omitting ... ungroups the entire object.
.add: When FALSE, the default, group_by() will override existing groups.
x: A SummarizedExperiment object

Value

SummarizedExperiment object

Functions

ungroup(SummarizedExperiment): Ungroup a SummarizedExperiment object

Examples


group_by(se_simple, rows(direction), cols(condition))
#> class: SummarizedExperiment 
#> dim: 5 4 
#> metadata(1): group_data
#> assays(2): counts logcounts
#> rownames(5): row_1 row_2 row_3 row_4 row_5
#> rowData names(3): direction gene length
#> colnames(4): col_1 col_2 col_3 col_4
#> colData names(2): condition sample