Nostr notes by Henrik Bengtsson

🚀 Want to run foreach() in #parallel? Use y <- foreach(z = ...

2026-06-21T18:58:05Z

🚀 Want to run foreach() in #parallel? Use

y <- foreach(z = x) %do% { fcn(z) } |> futurize()

from the futurize package

#rstats

https://futurize.futurever.se

Yes, evalq() or local(), e.g. $ R --vanilla --quiet > ...

2026-06-02T16:46:23Z

In reply to nevent1q…c6ag
_________________________

Yes, evalq() or local(), e.g.

$ R --vanilla --quiet
> attach(list(), name = "raw")
> local(envir = as.environment("raw"), {
a <- 5
})

> ls(pos = "raw")
[1] "a"
> ls()
character(0)

However, as expected, 'a' is on the search path because we used attach();

> a
[1] 5

so, it depends on what you're trying to achieve.

Inspired by this, it looks like you can use: $ Rscript -e ...

2026-05-22T00:05:31Z

In reply to nevent1q…lxn4
_________________________

Inspired by this, it looks like you can use:

$ Rscript -e 'png("/dev/stdout"); plot(1:10); void <- dev.off()' > out.png
$ identify out.png
out.png PNG 480x480 480x480+0+0 8-bit sRGB 2c 1869B 0.000u 0:00.000

$ Rscript -e 'jpeg("/dev/stdout"); plot(1:10); void <- dev.off()' > out.jpg
$ identify out.jpg
out.jpg JPEG 480x480 480x480+0+0 8-bit sRGB 10168B 0.000u 0:00.000

... at least on Linux

The future package turns ten today 🥳 To celebrate, I’ll ...

2025-06-19T19:11:46Z

The future package turns ten today 🥳 To celebrate, I’ll start a blog series covering recent improvements that set us up for new, exciting ways for writing concurrent #RStats - neater than what our trusty workhorses future.apply & furrr offer

https://www.jottr.org/2025/06/19/futureverse-10-years/

#parallel #futureverse

Liberating the future! I'm happy to share that major progress ...

2025-04-01T20:16:36Z

Liberating the future!

I'm happy to share that major progress has been made on the #Futureverse roadmap. Already the next release comes with new, exciting, frequently asked features, and more are ready to ship in following release.

Release candidate #1 of the 'future' package is now available on R-universe;

install.packages("future", repos = c("https://futureverse.r-universe.dev";, "https://cloud.r-project.org';))

Please give it a try🙏 As usual, these updates should be 100% backward.

#rstats #parallel