Explore options to make nabular data smaller

[njtierney]

library(naniar)
library(lobstr)
obj_size(riskfactors)
#> 49,232 B
obj_size(nabular(riskfactors))
#> 99,992 B

^{Created on 2022-04-06 by the reprex package (v2.0.1)}

Session info

sessioninfo::session_info()
#> ─ Session info  🤱🏻  🏇🏼  👲🏿   ─────────────────────────────────────────────────
#>  hash: breast-feeding: light skin tone, horse racing: medium-light skin tone, person with skullcap: dark skin tone
#> 
#>  setting  value
#>  version  R version 4.1.3 (2022-03-10)
#>  os       macOS Big Sur 11.2.2
#>  system   aarch64, darwin20
#>  ui       X11
#>  language (EN)
#>  collate  en_AU.UTF-8
#>  ctype    en_AU.UTF-8
#>  tz       Australia/Melbourne
#>  date     2022-04-06
#>  pandoc   2.17.1.1 @ /Applications/RStudio.app/Contents/MacOS/quarto/bin/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date (UTC) lib source
#>  assertthat    0.2.1   2019-03-21 [1] CRAN (R 4.1.0)
#>  backports     1.4.1   2021-12-13 [1] CRAN (R 4.1.1)
#>  cli           3.2.0   2022-02-14 [1] CRAN (R 4.1.1)
#>  colorspace    2.0-3   2022-02-21 [1] CRAN (R 4.1.1)
#>  crayon        1.5.1   2022-03-26 [1] CRAN (R 4.1.3)
#>  DBI           1.1.1   2021-01-15 [1] CRAN (R 4.1.0)
#>  digest        0.6.29  2021-12-01 [1] CRAN (R 4.1.1)
#>  dplyr         1.0.8   2022-02-08 [1] CRAN (R 4.1.1)
#>  ellipsis      0.3.2   2021-04-29 [1] CRAN (R 4.1.0)
#>  evaluate      0.15    2022-02-18 [1] CRAN (R 4.1.1)
#>  fansi         1.0.3   2022-03-24 [1] CRAN (R 4.1.1)
#>  fastmap       1.1.0   2021-01-25 [1] CRAN (R 4.1.0)
#>  fs            1.5.2   2021-12-08 [1] CRAN (R 4.1.1)
#>  generics      0.1.2   2022-01-31 [1] CRAN (R 4.1.1)
#>  ggplot2       3.3.5   2021-06-25 [1] CRAN (R 4.1.1)
#>  glue          1.6.2   2022-02-24 [1] CRAN (R 4.1.1)
#>  gtable        0.3.0   2019-03-25 [1] CRAN (R 4.1.1)
#>  highr         0.9     2021-04-16 [1] CRAN (R 4.1.0)
#>  htmltools     0.5.2   2021-08-25 [1] CRAN (R 4.1.1)
#>  knitr         1.37    2021-12-16 [1] CRAN (R 4.1.1)
#>  lifecycle     1.0.1   2021-09-24 [1] CRAN (R 4.1.1)
#>  lobstr      * 1.1.1   2019-07-02 [1] CRAN (R 4.1.0)
#>  magrittr      2.0.2   2022-01-26 [1] CRAN (R 4.1.1)
#>  munsell       0.5.0   2018-06-12 [1] CRAN (R 4.1.0)
#>  naniar      * 0.6.1   2021-05-14 [1] CRAN (R 4.1.1)
#>  pillar        1.7.0   2022-02-01 [1] CRAN (R 4.1.1)
#>  pkgconfig     2.0.3   2019-09-22 [1] CRAN (R 4.1.0)
#>  purrr         0.3.4   2020-04-17 [1] CRAN (R 4.1.0)
#>  R.cache       0.15.0  2021-04-30 [1] CRAN (R 4.1.0)
#>  R.methodsS3   1.8.1   2020-08-26 [1] CRAN (R 4.1.0)
#>  R.oo          1.24.0  2020-08-26 [1] CRAN (R 4.1.0)
#>  R.utils       2.11.0  2021-09-26 [1] CRAN (R 4.1.1)
#>  R6            2.5.1   2021-08-19 [1] CRAN (R 4.1.1)
#>  Rcpp          1.0.8   2022-01-13 [1] CRAN (R 4.1.1)
#>  reprex        2.0.1   2021-08-05 [1] CRAN (R 4.1.1)
#>  rlang         1.0.2   2022-03-04 [1] CRAN (R 4.1.1)
#>  rmarkdown     2.11    2021-09-14 [1] CRAN (R 4.1.1)
#>  rstudioapi    0.13    2020-11-12 [1] CRAN (R 4.1.0)
#>  scales        1.1.1   2020-05-11 [1] CRAN (R 4.1.0)
#>  sessioninfo   1.2.1   2021-11-02 [1] CRAN (R 4.1.1)
#>  stringi       1.7.6   2021-11-29 [1] CRAN (R 4.1.1)
#>  stringr       1.4.0   2019-02-10 [1] CRAN (R 4.1.1)
#>  styler        1.6.2   2021-09-23 [1] CRAN (R 4.1.1)
#>  tibble        3.1.6   2021-11-07 [1] CRAN (R 4.1.1)
#>  tidyselect    1.1.2   2022-02-21 [1] CRAN (R 4.1.1)
#>  utf8          1.2.2   2021-07-24 [1] CRAN (R 4.1.0)
#>  vctrs         0.3.8   2021-04-29 [1] CRAN (R 4.1.0)
#>  visdat        0.5.3   2019-02-15 [1] CRAN (R 4.1.1)
#>  withr         2.5.0   2022-03-03 [1] CRAN (R 4.1.1)
#>  xfun          0.30    2022-03-02 [1] CRAN (R 4.1.1)
#>  yaml          2.3.5   2022-02-21 [1] CRAN (R 4.1.1)
#> 
#>  [1] /Library/Frameworks/R.framework/Versions/4.1-arm64/Resources/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────

It might be possible, for example, to make nabular data have a print method that looks like it does currently, and then to somehow store the references to those columns in a more compact way? Although perhaps thinking about that, it could perhaps just be delaying computation to later...some sort of lazy/JIT printing / computation