Creating a tibble with a column of data type bigq from gmp does not work
Here is the reprex
library(tibble)
library(gmp)
#>
#> Attaching package: 'gmp'
#> The following objects are masked from 'package:base':
#>
#> %*%, apply, crossprod, matrix, tcrossprod
tibble(x=as.bigq(0:2,2))
#> # A tibble: 40 × 1
#> x
#> <bigq>
#> 1 0
#> 2 1/2
#> 3 1
#> 4 NA
#> 5 NA
#> 6 NA
#> 7 NA
#> 8 NA
#> 9 NA
#> 10 NA
#> # ℹ 30 more rows
Running the code in Rstudio produces the following output:
Error in `[<-`:
! Assigned data `map(.subset(x, unname), vectbl_set_names, NULL)` must be compatible with
existing data.
✖ Existing data has 40 rows.
✖ Assigned data has 188 rows.
ℹ Only vectors of size 1 are recycled.
Caused by error in `vectbl_recycle_rhs_rows()`:
! Can't recycle input of size 188 to size 40.
Run `rlang::last_trace()` to see where the error occurred.
Is it possible to make tibble work with bigq?
using data.frame, however, makes things work
library(gmp)
#>
#> Attaching package: 'gmp'
#> The following objects are masked from 'package:base':
#>
#> %*%, apply, crossprod, matrix, tcrossprod
data.frame(x=as.bigq(0:2,2))
#> x
#> 1 0
#> 2 1/2
#> 3 1
Creating a
tibblewith a column of data typebigqfromgmpdoes not workHere is the reprex
Running the code in Rstudio produces the following output:
Is it possible to make tibble work with bigq?
using
data.frame, however, makes things work