tidytable
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markfairbanks
Tidy interface to 'data.table'
_**Feedback welcome**_ Overview: * Add dotless versions of functions * Add `group_by()`/`ungroup()` - https://github.com/markfairbanks/tidytable/issues/375 Time to add "dotless" functions (like `arrange()`/`mutate()`/etc.) like was discussed in #374. However instead of a...
Currently this works and it should error instead.
See the following example: ``` r library(tidytable) #> #> Attaching package: 'tidytable' #> The following object is masked from 'package:stats': #> #> dt #> The following object is masked from...
Probably should wait until it's time for a CRAN release. Might be confusing to new users if it's in the `README` but not in the CRAN version.
Once the new version of tidyselect is on CRAN. Note: Need to also remove `"where"` from `globalVariables()`
Once the new version of `tidyselect` is on CRAN.
Don't know if you would expect any performance improvements compared to using `dplyr::recode()` inside `tidytable::mutate.()` calls or if a wrapper function makes sense because of consistency anyway.
I noticed that `pandas` is included in the comparisons. You can see `polars` and `data.table` benchmarks, along with several others, compared here: https://h2oai.github.io/db-benchmark I thought it would be nice to...
