Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Yes but worth stressing that #r2u works equallly well beyond @Docker:
- your server or desktop or laptop
- your cloud instance at AWS, GCS, Azure
- your WSL2 instance on Windows (!!)
"Runs everywhere @Ubuntu (on x86_64) runs"
#rstats
duckdb bends the truth a little by claiming zero dependencies. They are vendored in -- so no *external* dependencies is a little "truthier".
#Rstats installation can be easy, fast, reliable, complete: #r2u demo below given tomorrow's talk. 5 seconds on Ubuntu 22.04.
Are pkg dependencies ruining your #rstats session? Do you find yourself having to `apt install` some lib to install a pkg? Is building packages from source eating into #rayverse time? What if...you can do it all in the terminal as the CRAN gods intended?
Then r2u is for YOU!
An _abstraction_ that unfies access to file, or network, system command, or ... You think about _having a connection_, then read data (txt, csv, ...) from it. How to use a particular connection varies.
> con <- pipe("ls -1 /etc/R")
> etcfile <- readLines(con)
> close(con)
The `r2u` talk is happening in three days in Chicago at the R User Group meeting. Updated #r2u download chart below as a tease. Not yet 'billions and billions served' but hey 400k aint too shabby for four months. Details at eddelbuettel.github.io/r2u/
Delighted to talk about `r2u` next Thursday at the Chicago R Users Group. As a teaser, the cumulative downloads of Ubuntu focal or jammy binaries. `r2u` covers all of CRAN, with full dependencies.
See eddelbuettel.github.io/r2u/ for more on this new #Rstats tool.
It's not simple as managing toolchains, libraries, versions, ... consistently is difficult.
My suggestion: remove that layer, offer fully integrated binaries where we can -- see eddelbuettel.github.io/r2u/ and its demo and try it (via the gitpod link or docker) #rstats#r2u
Delighted to talk about `r2u` next Thursday at the Chicago R Users Group. As a teaser, the cumulative downloads of Ubuntu focal or jammy binaries. `r2u` covers all of CRAN, with full dependencies.
See eddelbuettel.github.io/r2u/ for more on this new #Rstats tool.
Today's update of #r2u, spanning four days from a long weekend, gets us 32 new #CRAN packages (along with 152 updates) for #Rstats, all pre-made binaries for @Ubuntu with full dependencies, installable via `apt` or `install.packages()` via `bspm`.
After a period in academia I'm looking for an industry position.
I worked in the (bio)research and I am looking for a position about building tools 🛠️, analyze data 🧑💻 or/and creating reports with #rstats 🧑💼(or all 3)
Available to work remotely or relocate (iff visas)
Read below:
Only 25 out of a over 1000 CRAN packages using RcppArmadillo are affected, a small subset. If you use the package (outside of CRAN) you will likely be fine too. We can help with the conversion, and have an override #define in the next release -- see issue #391 for more.
If you use RcppArmadillo with '<<' to inject values into matrices or vectors, Conrad has deprecated this upstream. A change to brace initialization is simple; we started a transition for 25 #RStats packages at CRAN you can follow at github.com/RcppCore/RcppArma… and are happy tp help.
The insistence of one vendor to seemingly have every single employee repost an announcement to the #Rstats hash tag just made me add what is below to my settings. What pinheads.
Thanks -- I mostly read the RSS feed, and the tweeted summaries. Everything is now on a hourly pulse, and works reliably as it should -- base R just doesn't break, and over time I added a few checks for network woes and alike. An #rstats service in production for fifteen years.