if_else() with named arguments throws errors #730
Description
When using if_else() with named arguments, there's a fall back to dplyr, but when using the function directly without named arguments it works well with duckplyr.
I wasn't expecting the fall back in to dplry this case. I didn't test for other functions.
Is this the expected behavior?
Example
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
library(duckplyr)
#> Warning: package 'duckplyr' was built under R version 4.5.1
#> The duckplyr package is configured to fall back to dplyr when it encounters an
#> incompatibility. Fallback events can be collected and uploaded for analysis to
#> guide future development. By default, data will be collected but no data will
#> be uploaded.
#> ℹ Automatic fallback uploading is not controlled and therefore disabled, see
#> `?duckplyr::fallback()`.
#> ✔ Number of reports ready for upload: 11.
#> → Review with `duckplyr::fallback_review()`, upload with
#> `duckplyr::fallback_upload()`.
#> ℹ Configure automatic uploading with `duckplyr::fallback_config()`.
#> ✔ Overwriting dplyr methods with duckplyr methods.
#> ℹ Turn off with `duckplyr::methods_restore()`.
x <- duckdb_tibble(x = 1:5, y = 1:5, .prudence = "stingy")
# This works:
mutate(x, z = if_else(x >= 2, TRUE, FALSE))
#> # A duckplyr data frame: 3 variables
#> x y z
#> <int> <int> <lgl>
#> 1 1 1 FALSE
#> 2 2 2 TRUE
#> 3 3 3 TRUE
#> 4 4 4 TRUE
#> 5 5 5 TRUE
# This does not work:
mutate(x, z = if_else(x >= 2, true = TRUE, false = FALSE))
#> Error in `mutate()`:
#> ! This operation cannot be carried out by DuckDB, and the input is a
#> stingy duckplyr frame.
#> ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
#> continue with duckplyr.
#> ℹ See `vignette("prudence")` for other options.
#> Caused by error in `mutate()`:
#> ! Can't translate named argument `if_else(true = )`.Created on 2025-07-11 with reprex v2.1.1
Session info
sessioninfo::session_info()
#> Warning in system2("quarto", "-V", stdout = TRUE, env = paste0("TMPDIR=", :
#> running command '"quarto"
#> TMPDIR=C:/Users/gmendozagui/AppData/Local/Temp/Rtmpqmu5Jn/file365010d26c11 -V'
#> had status 1
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.5.0 (2025-04-11 ucrt)
#> os Windows 11 x64 (build 26100)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate English_United States.utf8
#> ctype English_United States.utf8
#> tz Europe/Paris
#> date 2025-07-11
#> pandoc 3.5 @ C:/Users/GMENDO~1/AppData/Local/Pandoc/ (via rmarkdown)
#> quarto NA @ C:\\Users\\GMENDO~1\\AppData\\Local\\Programs\\Quarto\\bin\\quarto.exe
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> cachem 1.1.0 2024-05-16 [1] CRAN (R 4.5.0)
#> cli 3.6.5 2025-04-23 [1] CRAN (R 4.5.0)
#> collections 0.3.8 2025-05-08 [1] CRAN (R 4.5.0)
#> DBI 1.2.3 2024-06-02 [1] CRAN (R 4.5.0)
#> digest 0.6.37 2024-08-19 [1] CRAN (R 4.5.0)
#> dplyr * 1.1.4 2023-11-17 [1] CRAN (R 4.5.0)
#> duckdb 1.3.2 2025-07-09 [1] CRAN (R 4.5.0)
#> duckplyr * 1.1.0 2025-05-08 [1] CRAN (R 4.5.1)
#> evaluate 1.0.4 2025-06-18 [1] CRAN (R 4.5.0)
#> fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.5.0)
#> fs 1.6.6 2025-04-12 [1] CRAN (R 4.5.0)
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#> lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.5.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.3.2)
#> memoise 2.0.1 2021-11-26 [1] CRAN (R 4.5.0)
#> pillar 1.11.0 2025-07-04 [1] CRAN (R 4.5.1)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.5.0)
#> R6 2.6.1 2025-02-15 [1] CRAN (R 4.5.0)
#> reprex 2.1.1 2024-07-06 [1] CRAN (R 4.5.0)
#> rlang 1.1.6 2025-04-11 [1] CRAN (R 4.5.0)
#> rmarkdown 2.29 2024-11-04 [1] CRAN (R 4.5.0)
#> rstudioapi 0.17.1 2024-10-22 [1] CRAN (R 4.5.0)
#> sessioninfo 1.2.3 2025-02-05 [1] CRAN (R 4.5.0)
#> tibble 3.3.0 2025-06-08 [1] CRAN (R 4.5.0)
#> tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.5.0)
#> vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.3.2)
#> withr 3.0.2 2024-10-28 [1] CRAN (R 4.5.0)
#> xfun 0.52 2025-04-02 [1] CRAN (R 4.5.0)
#> yaml 2.3.10 2024-07-26 [1] CRAN (R 4.5.0)
#>
#> [1] C:/Data/Rpackages
#> [2] C:/Program Files/R/R-4.5.0/library
#> * ── Packages attached to the search path.
#>
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