Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Brooke and I cover that in a June 2017 piece in the R Journal (but web site down today). In short, `drat` can set up a repo for those packages, and the 'Additional_repositories' field can point to it. As your code is already conditional, that may be all you need. #rstats
And this happens when you add r2u aka cranapt to a brandnew 22.04 setup (and you also use `wajig` by @KayonToga as an `apt` frontend as I have for 20+ years):
"This is 18070 up on the previous count with 18070 new packages."
Just delightful. 19k CRAN + Bioc Binaries. #RStats
Seriously look into `bspm` which needs `sudo` once for a two-liner setup. Afterwards #rstat dispatches using it (and `systemd`) which is *pure magic and bliss*.
Really nice work by @Enchufa2. I use it on all my r2u installations (a growing list 😜)
cloud.r-project.org/package=…
That is a question for the r-package-devel mailing list -- you can search the archives. Uwe Ligges sometimes responds too.
And folks are still human. You can (and should) explain this to CRAN in a submission with the new email and send confimation from the old. #rstats
CRAN is so well-oiled and impressive for suitable #RStats packages. This has 978 (!!) reverse depends yet was auto-processed in under three hours (!!).
More fine upstream work by Conrad; and I ran three full rev dep checks (taking 14 hrs on an old machine...) leading up to it.
Reposting as more reports from happy users upgrading, adjusting, or first installing their #RStats on @Ubuntu 20.04 or 22.04.
From zero to `brms` in 13 sec (demo below).
From zero to `tidyverse` in 18 sec (demo'ed earlier).
Give it a spin! More at eddelbuettel.github.io/r2u
Using #RStats on @Ubuntu LTS 20.04 or 22.04?
The new #CRANapt repo has 19000 .deb binaries for each with full dependencies and `apt` integration. Demo of a full `brms` installation in 13 seconds (using @Docker via @gitpod in the browser).
More at eddelbuettel.github.io/r2u/
You can probably use the standard trick one uses in other circumstance (i.e. @Rdatatable columns names flagged as unknown globals):
`tools::globalVariables(c("This", "And", "That"))`
#rstats
Well look what #RStats is now checking for:
- "is excessive" for too many depends,
- "makes package vulnerable" for high number of imports.
Someone may have been looking at the tinyverse.org website 😀
h/t @aaronwolen
Unreal. 423 updates for #RStats packages at CRAN.
Some new packages, some updates as usual --- but also an somewhat unusual and large number of removals. Which is how we got tripped up by the safety check.
Yikes. Just noticed my @CRANberriesFeed has been silent for a bit so I checked the `cron` log -- and the safety valve in the code below prevented updates ... for fear of accidentally flooding.
Be warned, there will be lots coming. #Rstats changes a coming...
Using #RStats on @Ubuntu LTS 20.04 or 22.04?
The new #CRANapt repo has 19000 .deb binaries for each with full dependencies and `apt` integration. Demo of a full `brms` installation in 13 seconds (using @Docker via @gitpod in the browser).
More at eddelbuettel.github.io/r2u/
Using #RStats on @Ubuntu LTS cloud, server, desktop?
The new #CRANapt repo has 19000 .deb binaries with full dependencies and `apt` integration. Demo of a full `tidyverse` installation in 18 seconds (on @awscloud) below.
More details at eddelbuettel.github.io/r2u/