Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Good piece by Colin on a topic I riffed about a few times as far back as 2017 at dirk.eddelbuettel.com/blog/c…
The new new thing are the binaries of the @RStudio Package manager, available for multiple platforms.
Are these useable outside of a RSPM subscription?
#rstats
Answered at @StackOverflow: "Error installing #Rcpp 1.0.4 (released this week) on an (outdated) #Rstats 3.3.*"
Eight paragraphs with details about three issue tickets, three merged pull requests, and an interim Rcpp 1.0.4.3.
We need broader testing.
stackoverflow.com/a/60783584…
Grrr. 0.4.16.
R> fortunes::fortune(112)
I think we can reject the null hypothesis of "Dirk can type" at
all convential significance levels.
-- Dirk Eddelbuettel (after several users including himself had
misspelled Ubuntu as Umbutu or Ubunto)
R-help (April 2005)
Department of proud parenting: kiddo #1, still an undergrad for a few more months, is now published. Amazeballs. Congrats to twitterless Anna!
sciencedirect.com/science/ar…
There is nothing to it.
It is just `r-base` aka `rocker/r-base` -- which already knows about Debian testing (its default) and even unstable (should you need it).
So just launch the container, say `apt update; apt install gcc-10`.
The attention to details such as these by R Core is one of the under-appreciated gems for R. Better high-performance computing (startup) performance coming with R 4.0.0.
More at developer.r-project.org/Blog…#rstats
Release 1.0.4 is now both in CRAN's incoming.
And, as processing times remain unpredictable, also in the Rcpp drat repo at rcppcore.github.io/drat/ from where you can install it now (from source) via
install.packages("Rcpp", repos="rcppcore.github.io/drat ")
#rstats#rcpp
Another really nice post.
If you care about fast _and_ correct computing in C++ (and other relevant languages) but don't follow Daniel -- well, then you're doing it wrong ...
Nearly fifteen years worth command-line tools for R are in `inst/examples/` of the `littler` repo.
I use several of them daily, and prefer installing, compiling, testing, rendering, ... away from other (longer-runnng) R sessions increases reliability.
github.com/eddelbuettel/litt…