Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Digital humanities started as a niche pursuit. Now, it is advancing, and growing rapidly. Here's how it could change the way we study the arts econ.st/3p4smZJ
It is almost blasphemy when @spotify runs an ad, and the application display only rewrites part of the previous song.
Because as @mcbridesworld would ascertain (thanks for that *awesome* Jazz Night in America playlist, btw), John Coltrane did not play "Daisy Sour Cream"....
Seconded -- @BrodieGaslam is a wizard and we had good luck combining `diffobj` with the wonderful `tinytest` package (by @markvdloo) in out `ttdo` package: unit testing with clean #rstats object diffs.
{diffobj} lib in #R@rstudio allow to compare objs (even complex) and view differences side-by-side:
diffobj::diffPrint(target=dataset, current=dataset2)
In pic1 the output (one value diff in row1)
In pic2 an example with two complex lists of tibble objs
very handy! #Rstats
That's very kind of you to test. The package _itself_ does little (other than squat on lots of sectors of your disk) but it is the _reverse dependencies_ that matter. So if you don't author a package against it, no worries. Thanks though.
Once again #rstats release candidate test help needed: #Boost 1.75.0 was released yesterday; I just made the (annual) update to BH 1.75.0-0.
So if you use BH, please test it via the #ghrr drat:
Rscript -e 'install.packages("BH", repos="ghrr.github.io/drat")'
The most important thing in the programming language is the name. A language will not succeed without a good name. I have recently invented a very good name and now I am looking for a suitable language.
- D. E. Knuth, 1967
The #RockerProject provides two images updated each weekend:
rocker/drd -- a little smaller
rocker/r-devel -- initial one, larger
In both please use `RD` not `R` as they also contain r-release along with r-devel.
Happy piping!
#rstats
Hey, #Rstats is there a development version of R 4.1 prerelease available on #docker which I can play with... I want to see how new \() and |> symbol work...
Short blogpost on adding author affiliation to HTML and pdf in bookdown: markvanderloo.eu/yarb/#rstats
(turns out, it's easy once you've spent a few hours figuring it out :-) )