| 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(),
group_map(),
group_nest(),
group_split()
iris %>%
group_by(Species) %>%
filter(Species == "setosa", .preserve = TRUE) %>%
group_trim()