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
Joined March 2007
- Tweets 5,361
- Following 350
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Maybe you were you thinking of this absolute gem by @VincentAB listing all #RStats package data sets
vincentarelbundock.github.io…
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tidyCpp 0.0.5 on CRAN: More Protect'ion
Tidy C++ wrapping of the C API for R
dirk.eddelbuettel.com/blog/2…
#rstats
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It is more complicated as `paste0(rep('a', 5000), collapse="")` easily creates a longer one.
What you found is an (arbitrary but high) limit on a (single) input line in the REPL. If this really mattered to you could probably recompile with a larger constant.
#rstats
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The xrprof tool by @unconj1 was built for this:
github.com/atheriel/xrprof
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And if you want to really go for pole position:
library(data.table)
df.all <- rbindlist(lapply(v.filename, fread))
print(df.all)
/cc @rdatatable
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Thanks so much to the @zhaw organisers of the 6th European COST Conference on #AI in Industry and Finance for having me present yesterday. Slides of my short talk on #RStats, #Rcpp and #MachineLearning are on my talks page.
dirk.eddelbuettel.com/presen…
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RcppSMC 0.2.5 on CRAN: Build Fix
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2…
#rcpp #rstats
/cc @LeahFSouth @IZ89557597
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Or if you *really* want to drive the point home:
> letters |> toupper() |> tail() |> substitute() |> deparse()
[1] "tail(toupper(letters))"
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And the best part, by a mile, is what @groundwalkergmb mentioned: internally it just plain regular code:
> deparse(substitute(letters |> toupper() |> tail()))
[1] "tail(toupper(letters))"
>
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RcppSimdJson 0.1.6 on CRAN: New Upstream 1.0.0
Highest-performance JSON Parsing via Modern C++ from R
dirk.eddelbuettel.com/blog/2…
#rcpp #rstats
/cc @knapply_ @lemire
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Dirk Eddelbuettel retweeted
Tomorrow, we're examining all things TileDB Embedded, our open-source storage engine that universally models any data, whether it's MBs on your laptop or PBs on cloud object storage. Join us at 10am EDT and get your questions answered live. Register at hubs.la/H0WRYWy0.
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Well I do have blog posts and more for easier installations of stan and friends too. Especially if you pick one of the OSs that support ... the awesome automated installed from binaries. See for example dirk.eddelbuettel.com/blog/2… but the r^4 series is full of posts on this.
Dirk Eddelbuettel retweeted
It was a pleasure to work with @eddelbuettel, @LeahFSouth and Adam: the support was superb! @gsoc is amazing!
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tidyCpp 0.0.4 on CRAN: Adding a Numeric Vector Class
Tidy C++ wrapping of the C API for R
dirk.eddelbuettel.com/blog/2…
#rstats
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Confession: Signed up for @letterboxd as @j_v_66 mentioned it as a) good and b) possibly underused.
So far, so good. Mostly playing review ping pong with Jan (who surely returns more balls to many others).
But then ... this zinger. Putdown of all putdowns? Hall of fame.
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You may be looking for the `conflicted` package. (And you meant MASS::select here.)
You can also use selective attaching, either via NAMESPACE in a package, or via library() explicitly choose (or exclude) certain identifiers.
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