DPLYR . TIDYVERSE . ORG {
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Title:
Per-operation grouping with .by/by — dplyr_by • dplyr
Description:
There are two ways to group in dplyr: Persistent grouping with group_by() Per-operation grouping with .by/by This help page is dedicated to explaining where and why you might want to use the latter. Depending on the dplyr verb, the per-operation grouping argument may be named .by or by. The Supported verbs section below outlines this on a case-by-case basis. The remainder of this page will refer to .by for simplicity. Grouping radically affects the computation of the dplyr verb you use it with, and one of the goals of .by is to allow you to place that grouping specification alongside the code that actually uses it. As an added benefit, with .by you no longer need to remember to ungroup() after summarise(), and summarise() won
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Keywords {🔍}
grouping, region, dbl, data, expenses, tibble, cost, verbs, group, summarise, chr, dplyr, groupby, columns, verb, support, order, meancost, frame, argument, summarisecost, grouped, message, groups, keys, cid, ordering, month, feb, peroperation, page, supported, note, single, existing, ascending, result, typically, slice, jan, mar, byby, persistent, named, affects, place, alongside, differences, multiple, tidyselect,
Topics {✒️}
grouped data frames data-masking summaries original data frame purely technical difference tracks costs accumulated grouped data frame ungrouped data frame supported verbs section prevent surprising results expenses data set grouping specification alongside tidy-select syntax retains grouping columns grouping radically affects sorted group keys operation grouping argument result ordering verbs data frame existing data grouped output multiple columns existing order ascending order average cost maximum cost group keys alongside modifications cost_by_region = operation grouping dplyr verbs tidy-select grouping columns single operation optionally order grouping approaches grouping inline added benefit computes expressions generally peels character vector full access locale argument inherently affected by_group argument hadley wickham romain françois lionel henry kirill müller davis vaughan site built
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