pmap is not working for data frames

[bnicenboim]

I think the example is self-explanatory, purrr::pmap does work while pmap doesn't.

library(tidytable)

df <- tidytable(A= 1:10, b = 1:10)
pmap(df, function(A, ...) data.frame(A))
#> Error: i evaluates to a logical vector length 2 but there are 10 rows. Recycling of logical i is no longer allowed as it hides more bugs than is worth the rare convenience. Explicitly use rep(...,length=.N) if you really need to recycle.

purrr::pmap(df, function(A, ...) data.frame(A))
#> [[1]]
#>   A
#> 1 1
#> 
#> [[2]]
#>   A
#> 1 2
#> 
#> [[3]]
#>   A
#> 1 3
#> 
#> [[4]]
#>   A
#> 1 4
#> 
#> [[5]]
#>   A
#> 1 5
#> 
#> [[6]]
#>   A
#> 1 6
#> 
#> [[7]]
#>   A
#> 1 7
#> 
#> [[8]]
#>   A
#> 1 8
#> 
#> [[9]]
#>   A
#> 1 9
#> 
#> [[10]]
#>    A
#> 1 10

sessionInfo()
#> R version 4.3.3 (2024-02-29)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 22.04.4 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0 
#> LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
#> 
#> locale:
#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=nl_NL.UTF-8        LC_COLLATE=en_US.UTF-8    
#>  [5] LC_MONETARY=nl_NL.UTF-8    LC_MESSAGES=en_US.UTF-8   
#>  [7] LC_PAPER=nl_NL.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=nl_NL.UTF-8 LC_IDENTIFICATION=C       
#> 
#> time zone: Europe/Amsterdam
#> tzcode source: system (glibc)
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] tidytable_0.11.1
#> 
#> loaded via a namespace (and not attached):
#>  [1] vctrs_0.6.5       cli_3.6.2         knitr_1.45        rlang_1.1.3      
#>  [5] xfun_0.42         purrr_1.0.2       styler_1.10.2     data.table_1.15.0
#>  [9] glue_1.7.0        htmltools_0.5.7   fansi_1.0.6       rmarkdown_2.26   
#> [13] R.cache_0.16.0    evaluate_0.23     fastmap_1.1.1     yaml_2.3.8       
#> [17] lifecycle_1.0.4   compiler_4.3.3    fs_1.6.3          rstudioapi_0.15.0
#> [21] R.oo_1.25.0       R.utils_2.12.3    digest_0.6.34     utf8_1.2.4       
#> [25] reprex_2.0.2      tidyselect_1.2.0  pillar_1.9.0      magrittr_2.0.3   
#> [29] R.methodsS3_1.8.2 tools_4.3.3       withr_3.0.0

^{Created on 2024-03-08 with reprex v2.0.2}

[markfairbanks]

All set! Thanks for catching this.

pacman::p_load(tidytable)

df <- tidytable(a = 1:3, b = 4:6)
pmap(df, ~ .x + .y)
#> [[1]]
#> [1] 5
#> 
#> [[2]]
#> [1] 7
#> 
#> [[3]]
#> [1] 9