Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Fall 1989 was very special (also my last in (W.) Germany). History changed daily, his October visit to East Berlin was epochal (even if he never said "Wer zu spaet kommt..."). He dismantled an entire empire, peacefully. We were lucky to have him. RIP.
economist.com/obituary/2022/…
Congrats Dr. Douglas Bates for the 2023 Statistical Computing and Graphics Award!
"For his fundamental contributions to statistical computing infrastructure, developments of S, R, Julia, and mixed-effects models, and their applications in statistical research and practice."
littler 0.3.16 on CRAN: More updates
Everybody's favourite way to rock R at the command-line and in scripts
dirk.eddelbuettel.com/blog/2……
#rstats
(Reposted with silly typo fixed, package name is of course `littler` not `twitter`. Sunday frame of mind...)
Not email: Use a _repository_ which I have done in several organisation -- and wrote a helper #Rstats package for. Ensure it is set as a repo, then `update.packages()` is all it takes. And in existing packages you can check and alert via startup code!
cran.r-project.org/package=d…
For completeness, the same trick is also in @gbwanderson + @eddelbuettel (doi:10.32614/RJ-2017-026) and its discussion of 'optional data packages on external repos via drat' thanks to one of many extremely clever idea of my very talented co-author 🤩 #rstats
Today's update of #r2u brings 71 new #CRAN packages for #Rstats as pre-made @Ubuntu binaries with full dependencies yet accessible via `install.packages()` thanks to `bspm`.
Nice example + discussion of upgrading #RStats from @Ubuntu 20.04 to 22.04. We can do even better: All packages install with all dependencies in 20s (on Docker, to start 'empty'). The (2018) example script ran fine on my laptop using the same packages -- all thanks to #ru2.
Nice example + discussion of upgrading #RStats from @Ubuntu 20.04 to 22.04. We can do even better: All packages install with all dependencies in 20s (on Docker, to start 'empty'). The (2018) example script ran fine on my laptop using the same packages -- all thanks to #ru2.
RcppArmadillo 0.11.2.3.1 on CRAN: Double Update
R bindings to powerful and expressive C++ matrix library
dirk.eddelbuettel.com/blog/2…#rcpp#rstats
Upstream updates, and `Matrix` change accomodations (/cc @mmaechler)
When the `r2u` update gives you 49 new CRAN (and BioC) packages from the last few days (and 'state' is being kept for comparison by @KayonToga 's lovely `wajig` frontend to `apt` etc). #RStats
More at eddelbuettel.github.io/r2u/
You can slice #SAR imagery and #lidar data from TileDB arrays and create some impressive visualizations. But how about asking #dalle2 what a geospatial data array as an abstract painting might look like? #geospatial
That is a variant of #Rstats FAQ 7.31 and the trouble of floaring point comparison. You could try trunc() which gets seconds-only comparison whicgh is what you want:
> now <- Sys.time()
> then <- now + 0.001
> trunc(now) == trunc(then)
[1] TRUE
> now == then
[1] FALSE
>
There are lots of nice latex styles that are wrapped. See #Rstats packages
- `rticles` with many journal styles
- `binb` with three different beamer styles
- `tint` with a spin on the Tufte style
and more. For `rticles` I put up a gallery here
github.com/eddelbuettel/rtic…
When I first wrote 'crp' it started web scraping. Having svn or git commits is so much more powerful -- but then we all also already have access to r-devel changes.
The next move, if any, should come from any combo of R Core and CRAN to make 'policy' changes public for us.