Trim grouping structure
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
: A grouped data frame.drop
: See group_by()
A grouped data frame
iris %>% group_by(Species) %>% filter(Species == "setosa", .preserve = TRUE) %>% group_trim()
Other grouping functions: group_by()
, group_map()
, group_nest()
, group_split()
Useful links
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