Group-by for Crunch datasets

Source: R/group-by.R

group_by() sets grouping variables that affect what summarize() computes. ungroup() removes any grouping variables.

# S3 method for CrunchDataset
group_by(.data, ..., .add = FALSE)

# S3 method for CrunchDataset
ungroup(x, ...)

Arguments

.data

For group_by(), a Crunch Dataset
...

references to variables to group by, passed to dplyr::group_by_prepare()
.add

Logical: add the variables in ... to any existing grouping variables, or replace them (the default).
x

For ungroup(), a Crunch Dataset

Value

group_by() returns a GroupedCrunchDataset object (a CrunchDataset with grouping annotations). ungroup() returns a CrunchDataset.

Details

Note that group_by() only supports grouping on variables that exist in the dataset, not ones that are derived on the fly. dplyr::group_by() supports that by calling mutate() internally, but mutate is not yet supported in crplyr.

Examples

if (FALSE) {
ds %>%
   group_by(cyl) %>%
   select(cyl, gear) %>%
   collect()
}