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Syntax for temporary grouping #4711

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hadley opened this issue Jan 7, 2020 · 2 comments · Fixed by #4751
Closed

Syntax for temporary grouping #4711

hadley opened this issue Jan 7, 2020 · 2 comments · Fixed by #4751
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feature grouping 👨‍👩‍👧‍👦 wip

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@hadley
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hadley commented Jan 7, 2020 •
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Syntax ideas:

df %>% with_groups(mutate, this, that)(foo = 1)

df %>% with_groups(c(this, that), mutate, foo = 1)
@hadley hadley added feature grouping 👨‍👩‍👧‍👦 labels Jan 7, 2020
@hadley hadley mentioned this issue Jan 7, 2020
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@romainfrancois
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romainfrancois commented Jan 8, 2020 •
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I think I prefer the second one. I suppose we could make it compatible to this as well:

df %>% with_groups(c(this, that), ~ mutate(., foo = 1))

@hadley
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hadley commented Jan 8, 2020

Ah yes, nice! And that actual solves a tidy-eval challenge I was having

@hadley hadley added the wip label Jan 8, 2020
@hadley hadley mentioned this issue Jan 13, 2020
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hadley added a commit that referenced this issue Jan 14, 2020
@hadley
Implement with_groups()
91c4d6e 
Fixes #4711
@hadley hadley mentioned this issue Jan 14, 2020
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hadley added a commit that referenced this issue Jan 15, 2020
@hadley
Minimise regrouping work (#4751)
56c2197 
This PR starts to develop the dplyr "interface", i.e. the set of generics that you need to provide methods for if you want to extend dplyr to work with new data frame subclasses. It also uses those methods (along with a count_regroups()) to ensure that the existing grouped_df implementations are not needlessly regrouping data.

Fixes #4086 because count() can now use dplyr_reconstruct() to restore the original class
Fixes #4051 because I've carefully documented the return value of the major verbs
Fixes #4711 since implementing with_groups() is now easy.
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Minimise regrouping work tidyverse/dplyr
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@hadley @romainfrancois