ARROW-17911: [R] Implement across() within transmute()
#14290
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Two questions, but in general looks great!
Reprex with the behaviour I tested:
library(arrow, warn.conflicts = FALSE)
#> Some features are not enabled in this build of Arrow. Run `arrow_info()` for more information.
library(dplyr, warn.conflicts = FALSE)
example_data <- data.frame(
chr = letters[1:3],
dbl = c(1.11, 2.22, 3.33),
dbl2 = c(4.44, 5.55, 6.66)
)
example_data |>
as_arrow_table() |>
transmute(across(c(dbl, dbl2), round)) |>
collect()
#> dbl dbl2
#> 1 1 4
#> 2 2 6
#> 3 3 7Created on 2022-10-04 by the reprex package (v2.0.1)
r/tests/testthat/test-dplyr-mutate.R
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| test_that("Can use across() within transmute()", { | ||
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| # expressions work in the right order |
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I'm not sure what this comment is trying to say...maybe remove it (or clarify it if it's important)?
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Benchmark runs are scheduled for baseline = d31f3d9 and contender = eb5f0f7. eb5f0f7 is a master commit associated with this PR. Results will be available as each benchmark for each run completes. |
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