Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
That is (again) a nicely patient timeline to only warn several years after removing from (documented, visible) APIs -- so thanks #RStats Core, and thanks too for generally keeping long timelines between deprecation and removal, and _of course_ for so proactively adding checks.
R^4 #035: apt install rstudio quarto
Setting up a 'truly personal package archive' for RStudio
dirk.eddelbuettel.com/blog/2…
Short post on how to make `rstudio`, `rstudio-server`, `quarto` available for `apt install` and `apt upgrade`, with link to GitHub repo.
#rstats
Not to forget that all of this is of course still open source so it takes about the time it takes to tweet to download, edit, and then install a variant that will work under the slightly-outdated and by April even more outdated R 4.0.*.
The package does not have an explicit dependency declared as R (>= 4.1.0) so `update.packages()` does not know. So this may be a subtle bug in the `quantreg` package and we could let its maintainer (/cc @rkoenker) know.
cloud.r-project.org/web/pack…
I was really smitten with "Uneasy" when it came out in 2021 that I listened to it non-stop.
But to see @vijayiyer, Linda May Han Oh and Tyshawn Sorey each win the poll for piano, bass and drums, and to win small group is ... a Jazz "Grand Slam"?
@natechinen, can you advise?
Well I explicitly put a CC-BY-NC-SA 4.0 license on the the title pages before announcing this for a reason: you are welcome to (re-)use this for non-commercial purposes under attribution.
Big, big Thank You! and congratulations to (apparently mostly twitter-inactive) @Aymeric_Stamm for taking over #RStats package `nloptr` from (entirely twitterless) Jelmer Ypma and taking care of updates for nloptr 2.0. CRAN made sure everything was done to spec, as usual.
No special magic: run Emacs with ESS (has few lines of config / preferences; I used the same since the 1990s). Emacs 'daemon' mode + server / client setup is independent of ESS and works with everything which is nice. Otherwise we did this last year:
ess-intro.github.io/
Congratulations to @julia_edd on completing her first day in her new gig as a *senior* programmer analyst at @jhsph_hpm, mere weeks after graduating from @policycornell.
Here is a picture of her walking into the office.
I see your two RStudio sessions, and I raised you nine (named) ESS buffers inside a long-running Emacs in daemon mode with a number of Emacs client sessions :) Plus an active SQL connection to Postgres. And a bazillion other Emacs buffers.
#rstats
And here is a quick animation showing
- one command to launch the Docker container
- one command to refresh `apt` indices
- one command to install `rstan` as binary
- one command to launch #Rstats and load `rstan`
Really works as advertised 😀
Lecture slides for my 'Data Science Programming Methods' course STAT 447 from this Fall 2021 at U of Illinois are now accessible via stat447.com covering shell (incl sed/awk), markdown, git(hub), sql, lots of #Rstats up to packaging, and Docker. Enjoy!
Nice to see: Denmark open sources macroeconomic model used by its Ministry of Finance. Still needs GAMS (closed source) but one step at a time.
github.com/DREAM-DK/MAKRO