Regression with units objects

[agila5]

Dear all,

I think I've found a regression in the ggplot2 package when working with units objects. This is the output with the CRAN version of ggplot2:

library(ggplot2)
#> Warning: package 'ggplot2' was built under R version 4.4.3
library(units)
#> udunits database from C:/Users/andre/AppData/Local/R/win-library/4.4/units/share/udunits/udunits2.xml

toy <- data.frame(x = set_units(1:10, "m", mode = "standard"))
ggplot(toy) + 
  geom_point(aes(x = x, y = x))

^{Created on 2025-03-07 with reprex v2.1.1.9000}

Session info

sessioninfo::session_info()
#> Warning in system2("quarto", "-V", stdout = TRUE, env = paste0("TMPDIR=", :
#> running command '"quarto"
#> TMPDIR=C:/Users/andre/AppData/Local/Temp/Rtmpq8oXKc/file4ec82b8451b4 -V' had
#> status 1
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.2 (2024-10-31 ucrt)
#>  os       Windows 11 x64 (build 26100)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  Italian_Italy.utf8
#>  ctype    Italian_Italy.utf8
#>  tz       Europe/Rome
#>  date     2025-03-07
#>  pandoc   3.2 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>  quarto   NA @ C:\\PROGRA~1\\RStudio\\RESOUR~1\\app\\bin\\quarto\\bin\\quarto.exe
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version    date (UTC) lib source
#>  cli           3.6.4      2025-02-13 [1] CRAN (R 4.4.3)
#>  colorspace    2.1-1      2024-07-26 [1] CRAN (R 4.4.2)
#>  curl          6.2.1      2025-02-19 [1] CRAN (R 4.4.2)
#>  digest        0.6.37     2024-08-19 [1] CRAN (R 4.4.2)
#>  dplyr         1.1.4      2023-11-17 [1] CRAN (R 4.4.2)
#>  evaluate      1.0.3      2025-01-10 [1] CRAN (R 4.4.2)
#>  farver        2.1.2      2024-05-13 [1] CRAN (R 4.4.2)
#>  fastmap       1.2.0      2024-05-15 [1] CRAN (R 4.4.2)
#>  fs            1.6.5      2024-10-30 [1] CRAN (R 4.4.2)
#>  generics      0.1.3      2022-07-05 [1] CRAN (R 4.4.2)
#>  ggplot2     * 3.5.1      2024-04-23 [1] CRAN (R 4.4.3)
#>  glue          1.8.0      2024-09-30 [1] CRAN (R 4.4.2)
#>  gtable        0.3.6      2024-10-25 [1] CRAN (R 4.4.2)
#>  htmltools     0.5.8.1    2024-04-04 [1] CRAN (R 4.4.2)
#>  knitr         1.49       2024-11-08 [1] CRAN (R 4.4.2)
#>  labeling      0.4.3      2023-08-29 [1] CRAN (R 4.4.2)
#>  lifecycle     1.0.4      2023-11-07 [1] CRAN (R 4.4.2)
#>  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.4.2)
#>  munsell       0.5.1      2024-04-01 [1] CRAN (R 4.4.2)
#>  pillar        1.10.1     2025-01-07 [1] CRAN (R 4.4.2)
#>  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.4.2)
#>  R6            2.5.1      2021-08-19 [1] CRAN (R 4.4.2)
#>  Rcpp          1.0.14     2025-01-12 [1] CRAN (R 4.4.2)
#>  reprex        2.1.1.9000 2025-02-25 [1] Github (tidyverse/reprex@07cd5d7)
#>  rlang         1.1.5      2025-01-17 [1] CRAN (R 4.4.2)
#>  rmarkdown     2.29       2024-11-04 [1] CRAN (R 4.4.2)
#>  rstudioapi    0.17.1     2024-10-22 [1] CRAN (R 4.4.2)
#>  scales        1.3.0      2023-11-28 [1] CRAN (R 4.4.2)
#>  sessioninfo   1.2.3      2025-02-05 [1] CRAN (R 4.4.2)
#>  tibble        3.2.1      2023-03-20 [1] CRAN (R 4.4.2)
#>  tidyselect    1.2.1      2024-03-11 [1] CRAN (R 4.4.2)
#>  units       * 0.8-6      2025-03-07 [1] Github (r-quantities/units@4d8d0c1)
#>  vctrs         0.6.5      2023-12-01 [1] CRAN (R 4.4.2)
#>  withr         3.0.2      2024-10-28 [1] CRAN (R 4.4.2)
#>  xfun          0.51.2     2025-02-20 [1] https://yihui.r-universe.dev (R 4.4.2)
#>  xml2          1.3.6      2023-12-04 [1] CRAN (R 4.4.2)
#>  yaml          2.3.10     2024-07-26 [1] CRAN (R 4.4.2)
#> 
#>  [1] C:/Users/andre/AppData/Local/R/win-library/4.4
#>  [2] C:/Program Files/R/R-4.4.2/library
#>  * ── Packages attached to the search path.
#> 
#> ──────────────────────────────────────────────────────────────────────────────

and this is what happens with the Github version:

library(ggplot2)
library(units)
#> udunits database from C:/Users/andre/AppData/Local/R/win-library/4.4/units/share/udunits/udunits2.xml

toy <- data.frame(x = set_units(1:10, "m", mode = "standard"))
ggplot(toy) + 
  geom_point(aes(x = x, y = x))
#> Error in make_title(..., self = self): unused arguments (list(), "x")

^{Created on 2025-03-07 with reprex v2.1.1.9000}

Session info

sessioninfo::session_info()
#> Warning in system2("quarto", "-V", stdout = TRUE, env = paste0("TMPDIR=", :
#> running command '"quarto"
#> TMPDIR=C:/Users/andre/AppData/Local/Temp/RtmpYLZFVc/file496c3b055fb3 -V' had
#> status 1
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.2 (2024-10-31 ucrt)
#>  os       Windows 11 x64 (build 26100)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  Italian_Italy.utf8
#>  ctype    Italian_Italy.utf8
#>  tz       Europe/Rome
#>  date     2025-03-07
#>  pandoc   3.2 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>  quarto   NA @ C:\\PROGRA~1\\RStudio\\RESOUR~1\\app\\bin\\quarto\\bin\\quarto.exe
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version    date (UTC) lib source
#>  cli           3.6.4      2025-02-13 [1] CRAN (R 4.4.3)
#>  colorspace    2.1-1      2024-07-26 [1] CRAN (R 4.4.2)
#>  digest        0.6.37     2024-08-19 [1] CRAN (R 4.4.2)
#>  dplyr         1.1.4      2023-11-17 [1] CRAN (R 4.4.2)
#>  evaluate      1.0.3      2025-01-10 [1] CRAN (R 4.4.2)
#>  farver        2.1.2      2024-05-13 [1] CRAN (R 4.4.2)
#>  fastmap       1.2.0      2024-05-15 [1] CRAN (R 4.4.2)
#>  fs            1.6.5      2024-10-30 [1] CRAN (R 4.4.2)
#>  generics      0.1.3      2022-07-05 [1] CRAN (R 4.4.2)
#>  ggplot2     * 3.5.1.9000 2025-03-07 [1] Github (tidyverse/ggplot2@e727e2b)
#>  glue          1.8.0      2024-09-30 [1] CRAN (R 4.4.2)
#>  gtable        0.3.6      2024-10-25 [1] CRAN (R 4.4.2)
#>  htmltools     0.5.8.1    2024-04-04 [1] CRAN (R 4.4.2)
#>  knitr         1.49       2024-11-08 [1] CRAN (R 4.4.2)
#>  labeling      0.4.3      2023-08-29 [1] CRAN (R 4.4.2)
#>  lifecycle     1.0.4      2023-11-07 [1] CRAN (R 4.4.2)
#>  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.4.2)
#>  munsell       0.5.1      2024-04-01 [1] CRAN (R 4.4.2)
#>  pillar        1.10.1     2025-01-07 [1] CRAN (R 4.4.2)
#>  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.4.2)
#>  R6            2.5.1      2021-08-19 [1] CRAN (R 4.4.2)
#>  Rcpp          1.0.14     2025-01-12 [1] CRAN (R 4.4.2)
#>  reprex        2.1.1.9000 2025-02-25 [1] Github (tidyverse/reprex@07cd5d7)
#>  rlang         1.1.5      2025-01-17 [1] CRAN (R 4.4.2)
#>  rmarkdown     2.29       2024-11-04 [1] CRAN (R 4.4.2)
#>  rstudioapi    0.17.1     2024-10-22 [1] CRAN (R 4.4.2)
#>  scales        1.3.0      2023-11-28 [1] CRAN (R 4.4.2)
#>  sessioninfo   1.2.3      2025-02-05 [1] CRAN (R 4.4.2)
#>  tibble        3.2.1      2023-03-20 [1] CRAN (R 4.4.2)
#>  tidyselect    1.2.1      2024-03-11 [1] CRAN (R 4.4.2)
#>  units       * 0.8-6      2025-03-07 [1] Github (r-quantities/units@4d8d0c1)
#>  vctrs         0.6.5      2023-12-01 [1] CRAN (R 4.4.2)
#>  withr         3.0.2      2024-10-28 [1] CRAN (R 4.4.2)
#>  xfun          0.51.2     2025-02-20 [1] https://yihui.r-universe.dev (R 4.4.2)
#>  yaml          2.3.10     2024-07-26 [1] CRAN (R 4.4.2)
#> 
#>  [1] C:/Users/andre/AppData/Local/R/win-library/4.4
#>  [2] C:/Program Files/R/R-4.4.2/library
#>  * ── Packages attached to the search path.
#> 
#> ──────────────────────────────────────────────────────────────────────────────

I'm not sure whether this is a ggplot2 or units issue but, for the moment, I reported this issue only here.

[teunbrand]

Thanks for the report!

It seems {units} adapts the make_title() method here:

https://github.com/r-quantities/units/blob/4d8d0c1c24c1cfd7631a18502efd453beb9fa31b/R/scale_units.R#L114-L118

We adapted that method in #6200. I think that feature is valuable, implementing backwards compatibility will be gnarly and I don't think we advertise make_title() as an extension point. For these reasons I'm inclined to suggest that {units} should add a ... argument to their method.

[agila5]

Thanks for your reply! I will add a twin issue in the units repo

[agila5]

Fixed in r-quantities/units#401