Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
New package prrd
Parallel Running [of] Reverse Depends: Enqueue tasks, then multiple workers can dequeue them in parallel. Package should hopefully be "soon" on CRAN, for now in the ghrr drat.
goo.gl/kXHFLe#rstats
Big Thank You to @joshua_ulrich for this work, and for tirelessly slaying several dragons while doing it. Or, as he calls it, a regular day working with Windows.
Instructions at github.com/eddelbuettel/rqua… still hold, now for 0.4.4 too.
Still having tons of fun with @quasardb , C++ and R.
Now with a new 2.3 version of the C API thanks to @edouarda14 we have full queries. Which map wonderfully into data.table.
Next: write a loader for nanosecond timestamp data, then query.
#rstats#rcpp
Is anybody besides me looking at R and @quasardb ?
"Quasardb is a high-performance, distributed, column-oriented database with native time series support." quasardb.net/-Quasardb-XTP-
rqdb is my beginnings of a proof of concept. All functions shown below :)
Inbox a moment ago: "i wrote a question on Stalkoverflow" [sic]
Best way to ensure I ignore a question is to ask it via Twitter, Twitter DM, LinkedIn (groan) or by spamming my inbox.
So a "Pro Tip": Use. A. GitHub. Issue. Ticket.
Pretty-please.
R^4 #014: Finding Debian Binaries from CRAN, and a Docker Example
Binaries rock, are easier and faster to install. See how to find them.
goo.gl/vUfZT1#rstats
littler 0.3.3 on CRAN: More example scripts, and some fixes
Everybody's favourite way to rock R at the command-line and in scripts
goo.gl/AEqJ64#rstats
Two maintenance releases on CRAN this week:
- digest 0.6.13 allowing serialize version for R 3.5.0 / ALTREP
- RVowpalWabbit not using a directory change for tests
digests creates hash digests, RVowpalWabbit is a fast learner.
goo.gl/sVPrWj#rstats
R^4 #13: (Much) Faster Package (Re-)Installation via Binaries
On the (large) benefits of using .deb binaries for R package installations
goo.gl/9gec5B#rstats#dayTimeRetweetWithChart
R^4 #13: (Much) Faster Package (Re-)Installation via Binaries
On the (large) benefits of using .deb binaries for R package installations
goo.gl/9gec5B#rstats
Here are some thanks to @Nate_Cohn and the @UpshotNYT team for a fantastic demonstration of what _live_ predictive modeling can do. Double thanks for turning the effing jitter off. As @statpumpkin called; finest stats porn.
youtube.com/watch?v=Hd3oqvnD…
Brilliant. And yet so sad.
Same as it ever was.
And you may say yourself, "My God! What have I done?"
Original for comparison/cleansing: youtube.com/watch?v=98AJUj-q…
Beautiful @bradmehldau & Larry Grenadier & Dave Ballard concert at @uchicago Logan Center @LoganUChicago - - gorgeous room, front row seats for some wonderful 90 minutes.