Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
You _could_ annotate each plot with the script name, date, git sha1, ...
From a script used by cron where the date is stored:
mtext(text=paste("Prepared on",
format(Sys.time(), "%d %B %Y at %H:%M")),
adj=0.99, cex=0.75, side=3, outer=TRUE,
las=1, line=0.5)
#rstats
You can also test the coming #RStats 4.1.0 release via:
- @Debian packages, currently only in 'experimental' given the upcoming release,
- the eddelbuettel/ppaR400 @Github repo
- the rocker/r-base:4.1.0 container wherever Docker runs
Testing helps. Please give it a whirl.
TileDB is an open source universal data engine that natively supports dense and sparse multidimensional arrays, as well as data frames.
📌Introduction to TileDB for R
👥 @eddelbuettel@aaronwolen
📚English/Intermediate
⏰ 20:45-23:45 UTC
🖥️ bit.ly/useR-t3
Any and/or all of
- `gdb` (can be used on core dump too!)
- `valgrind`
- copious `print` statements
- [ your best method here ]
- creating more and more minimal examples
- generally running / reproducing outside of RStudio
#rcpp#rstats
The #RStats 4.1.0 test release binaries are now at the second round of 'alpha' releases (dated 2021-04-26) available in @Debian experimental, the PPA I set up, and via #RockerProject container.
Please help in testing the upcoming R 4.1.0 release.
Hm, two different topics. Namespaces in R are mostly similar to use elsewhere and let you hide/expose as needed. S4 is a different topic but can be used with them. And yes S4 can be challenging. But it grew on me during the work on two recent packages.
Second CRAN Policy revision spotted by my bot this week. Following a typo-only fix, this revision moves away from supporting ftp:// access; a corresponding change was committed to r-devel too. #rstats
drat 0.2.0 on CRAN: Now with 'docs/' support, and more!
Create and manage R repositories with ease
dirk.eddelbuettel.com/blog/2…#rstats
With thanks to (still twitterless?) Felix Ernst and @HornungRoman
And to make testing #Rstats 4.1.0 even easier, a #RockerProject r-base container is now available.
Just 'docker pull rocker/r-base:4.1.0' and test as e.g. shown below. (Yes you may need to add Depends and LaTeX support ...).
Plan to update the image weekly til release.