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 of advice in there: if you don't like (or need) having a fixed CRAN snapshot with MRO, you can just call:
chooseCRANmirror()
for standard R behavior in this session, or add this to .Rprofile to make it permanent:
options(repos = c(CRAN = “cloud.r-project.org/”))
Gem of an answer by @MarkKlik about why his fst package outperforms simpler C/C++ approaches to R object to/from disk serialization (by some margin).
tl;dr: chunk size matters!
stackoverflow.com/a/51716428…#rstat#rcpp#fst
Reading @yudapearl 's ''Book of Why' noticing scepticism of econometrics so deep-seated that a Nobel-winning concept gets mislabeled: it is vector autoregression hence VAR.
Otherwise mostly nice read so far.
#vacation
The Department of #Statistics at @Illinois_Alma seeks qualified candidates for new #UIUC faculty positions. Interested candidates can submit their application and required materials by following the APPLY HERE link found in the following link: #StatCareersstat.illinois.edu/news/2018-…
I try to write low dependency #rstats pkgs, but this is only possible b/c R has so much built-in: stats, string manip, low/high level graphics, etc. And it is stable over time; a bedrock to build on. Me when I think about it: 🤯.
Thank you R-Core!
This shows a long history of the Tiobe index--and I take the #Rstat growth in here!
Nice article about Python and the recent changes though.
Plus, a Python/R hybrid data analysis here: github.com/TheEconomist/big-… (with a hat tip to @MattDowle)
Started putting together some thoughts and observations on the state of the science in data science. Spoiler alert: don't count out the social sciences. github.com/jseabold/data-sci…