with_rollup: with_rollup
In rollup: A Tidy Grouping Set Aggregation
with_rollup R Documentation
with_rollup
Description
Compute total amounts at different group levels, producing multiple subtotals. With the 'with_rollup' clause following 'group_by', you can aggregate multiple grouping variables in one operation. This reflects the 'WITH ROLLUP' operations in 'SQL'.
Usage
with_rollup(grouped_df)
Arguments
grouped_df
'grouped_df' class
Value
A list of 'grouped_df' class. each 'grouped_df' object has a different grouping level.
Examples
mtcars %>% group_by(vs, am) %>% grouping_sets("vs","am",c("vs","am"))
mtcars %>% group_by(vs, am) %>% with_rollup()
mtcars %>% group_by(vs, am) %>% with_cube()
rollup documentation built on Sept. 12, 2024, 7:28 a.m.
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| with_rollup | R Documentation |
with_rollup
Description
Compute total amounts at different group levels, producing multiple subtotals. With the 'with_rollup' clause following 'group_by', you can aggregate multiple grouping variables in one operation. This reflects the 'WITH ROLLUP' operations in 'SQL'.
Usage
with_rollup(grouped_df)
Arguments
grouped_df |
'grouped_df' class |
Value
A list of 'grouped_df' class. each 'grouped_df' object has a different grouping level.
Examples
mtcars %>% group_by(vs, am) %>% grouping_sets("vs","am",c("vs","am"))
mtcars %>% group_by(vs, am) %>% with_rollup()
mtcars %>% group_by(vs, am) %>% with_cube()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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