Dirk Eddelbuettel @eddelbuettel

Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.

 Chicago, IL, USA
dirk.eddelbuettel.com
Joined March 2007
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#r2u is going strongly and proving to be useful for #rstats. We had a few 80k days recently and may soon break 100k per day. Nice to see it being used! eddelbuettel.github.io/r2u/
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How it started: How it's going: Today's edition of #ChatGPT showing us it is *clearly* not watching enough #soccer, or reading coverage in The @Guardian. "Don't know who EPL clubs CFC and FFC are." Man -- ever been to London, mate?
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RInside 0.2.18 on CRAN: Maintenance The easiest way to embed R in your C++ (and C) applications dirk.eddelbuettel.com/blog/2… #rstats #rcpp
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R^4 Post #039: Faster Feedback Systems -- A Continuous Integration Example Comparing One Year of GitHub Action Runtimes, tiny versus tidy dirk.eddelbuettel.com/blog/2… #rstats
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RcppTOML 0.2.2 on CRAN: Now with macOS-on-Intel Builds Better configuration files for humans and machines dirk.eddelbuettel.com/blog/2… #rcpp #RStats /cc @marzer8789
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Most interesting. Just how I was musing (in the quoted tweet) that (too ?) many packages still hard-wire C++11 I just noticed that one of mine now gets warnings for this on the Vienna and Oxford @debian and @fedora r-devel systems of CRAN. #rstats #rcpp #cpp
Dirk Eddelbuettel @eddelbuettel
Jan 26
#RStats 4.3.0 will default to C++17 (with the 'where available' caveat, just how it currently defaults to C++14). Lots of packages still specify C++11 explicitly and can just drop that (at least for builds under recent R versions).
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#RStats 4.3.0 will default to C++17 (with the 'where available' caveat, just how it currently defaults to C++14). Lots of packages still specify C++11 explicitly and can just drop that (at least for builds under recent R versions).
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RcppTOML 0.2.1 on CRAN: Small Build Fix for Some Arches Better configuration files for humans and machines dirk.eddelbuettel.com/blog/2… #rstats #rcpp /cc @marzer8789
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Replying to @adriaaaaaaan
It's the final coercion that does it: somewhat known and documented fact that the S3 class object gets dropped by #rstats. You can assemble proper (one row) data.frame objects (that you can then `rbind`), or you can avoid fate by going to character. Inject some `print` to see.
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Rcpp 1.0.10 on CRAN: Regular Update Seamless R and C++ Integration dirk.eddelbuettel.com/blog/2… #rstats #rcpp /cc @Enchufa2 @kevin_ushey
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