group_trim {dplyr} | R Documentation |
Drop unused levels of all factors that are used as grouping variables, then recalculates the grouping structure.
group_trim()
is particularly useful after a filter()
that is intended
to select a subset of groups.
group_trim(.tbl, .drop = group_by_drop_default(.tbl))
.tbl |
|
.drop |
See |
Other grouping functions: group_by_all
,
group_by
, group_indices
,
group_keys
, group_map
,
group_nest
, group_rows
,
group_size
, groups
iris %>% group_by(Species) %>% filter(Species == "setosa", .preserve = TRUE) %>% group_trim()