Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
R/Finance 2019 Registration is open! We're excited to have keynotes by Genevera Allen, Arthur Steinmetz, and Matt Taddy.
More info at go.uic.edu/rfinance2019
Note: fees will increase 50% after May 6, 2019!
#rstats#rfinance
tsbox makes working with #rstats time series fun. Version 0.1 brings a large number of bug fixes and improvements, and is now on CRAN. cynkra.com/2019/04/10/tsbox-…
I am amazed by how great some student projects can turn out. The ggparty package is already better than what I had envisioned: a user friendly, flexible, and beautiful way to visualize trees.
#ggplot2#partykit#rstatsgithub.com/mmostly-harmless/…
Always begin a data science project by asking the right question. Namely,
“Why did I even bother getting out of bed this morning when I know the day will end in failure?”
#DataScience#statistics
Campus inbox subject "Invitation for Research Paper**@#%"
Well put. I *really* don't want to hear from your f*@#ing spammy predatory journal. So into the spam-filter repo it goes. Sadly I only control spamassassin for the home email...
github.com/eddelbuettel/filt…
I was just reminded installing #rstats 3.5.3 that I'm not giving up my first born child in exchange for being able to use wonderful software #gpl. Refreshing nowadays.
Neat idea -- for my STAT430 course I had contemplated the 'pick a CRAN package and make something better' route as well but feared it would be too demanding. Hence very interesting and encouraging to see that it works for you.
In each course I teach, I assign a term project, in groups of 3-4. The topic this quarter was to choose a CRAN package and improve its speed by converting parts to C/C++. Several were really excellent; I've chosen this one to display (with permission), tinyurl.com/yyzmm477
The new 'options("conflicts.policy"=....)' in the upcoming R 3.6.0 will be very useful -- and this write-up by @LukeTierney4 is something many of us may come back to a number if times (as the section in `help(library)` in R-devel is rather brief).
Excellent stuff.
#rstats