#rdatatable — Public Fediverse posts

As a #RDataTable translator and, more importantly, as a former #GNOME translator, I'm happy with the 1.0 release of gettext, an incredibly good internationalization and localization toolkit. If your software project is not using gettext yet, do consider changing that.

https://lists.gnu.org/archive/html/info-gnu/2026-01/msg00007.html

+

#l10n #i18n #blambers

Anyone knows about a #rstats #rdatatable skills file for claude?

The #fcase function from #rdatatable is such a pleasure to work with.

https://rdatatable.gitlab.io/data.table/reference/fcase.html

#Rstats

Exploring a parallel syntax with #RDataTable

```
data |>
_[, .(x = async(long(x))), by = .(group1, group2)] |>
collect_async()
```

Is syntax sugar for

```
data |>
_[, .(x = list(future::future(long(x)))), by = .(group1, group2)] |>
_[, x := future::value(x[[1]]), by = .(group1, group2)] |>
_[]
```

#RStats

data challenge: rolling median

library(data.table)
set.seed(108)
x = rnorm(1e8)
n = 1000
frollmedian(x, n) |> system.time()
# user system elapsed
# 8.439 0.727 3.212

#pandas #polars #data #datascience #rdatatable #rstats

@pglpm The only reason I don't use {collapse} is because usually what I want is already covered by #RDataTable

data.table giving bizarre results on my system when compiled with the intel compiler. This is just a simple mean by time. The the GForce version goes all wacky. Using base::mean() returns to sanity.

#RDataTable #RStats

@NumFOCUS

Link: https://numfocus.org/project/data-table

#rstats #rdatatable #opensource

@safest_integer

#rstats #datascience #graphics #tidyverse #visualization

Count in #tinytable and #rdatatable.

@flaviaerius

I see the hardware is of course an important aspect.

You could also try fread from #rdatatable and see if this works better for you.

Since I have quite powerful laptop, I rarely come to the limits. But this was different in the past. I did my doctoral thesis (R package development included) in part on an #EeePC. That was fun.

Gráficos feitos com #RStats, usando #RDataTable para ler e tabular os dados, e #TinyPlot (@gmcd) para plotar

@Lluis_Revilla

#rdata #rstats

#rdatatable is a pleasure to work with. Sometimes mind bending (why does it not work? 🤔 … ahh, lists 🤦‍♂️)
but most of the time great.

I use it in combination with #tinyplot. I had situations where my code got faster and shorter by doing this.

Enjoy

Friends near Madrid, check out this upcoming #rdatatable event!

A Zoom option is also available, if you want to join from afar.

https://www.meetup.com/grupo-de-usuarios-de-r-de-madrid/events/306199926/

(Presentation will be in English.)

@johnmackintosh

#rstats

#rdatatable would be sufficient for most of my demands I guess.

Therefore, I can unfortunately not offer a better comment.

Pela primeira vez, fiz revisão de "pull request" no GitHub. A mudança sendo revista era uma atualização da tradução do #RDataTable por @rafaelff

#rstats what wouldn't I give for a package that would bring #rdatatable syntax to #polars

#tinyverse starter pack

|> pipeOp {base}
#tinyplot https://doi.org/10.32614/CRAN.package.tinyplot
#rdatatable https://doi.org/10.32614/CRAN.package.data.table
#poorman https://doi.org/10.32614/CRAN.package.poorman

What did I forget?

@johnmackintosh My 1/2 a cent as heavy user of #rdatatable for the package name: short is not so important (you only write it once). I would have gone with data.table.utils or data.table.extras to make it absolutely obvious. There is probably some room for a left_join, inner_join, full_join, asof_join wrapper as well (should you look for features)

Someone said she felt undatable and I had to read twice, thrice because I thought it was un-data.table! 😅 #RDataTable