5 ms·
why not use something like incanter?
by batgaijin 14y ago
why not use something like incanter?
- michaelochurch 14y agoMy exact thought. R has great tools but the language is wonky. That's not a dig against them. It wasn't designed by language designers. However, its interactive nature is great for data scientists. So it seems like Clojure (possibly Scala) is a better fit than Java.
- Create 14y agoit isn't the R syntax, as a language, it is rather the package ecosystem and the invested resources it encapsulates.
- michaelochurch 14y agoI'm confused. Are you saying that the package ecosystem is what makes R attractive, or that it's what makes it inscrutable?
- cschmidt 14y agoI'm sure he's saying that package ecosystem is what makes R attractive.
- muuh-gnu 14y agoThe ecosystem didnt come into existence by magic. The early adopters did have a choice into which language to invest their time. Obviously the R syntax alone was enough of an incentive to starts building useful libraries in it, instead of lisp, python, etc.
- billwilliams 14y agoIts easy to get addicted to R syntax / capabilities. (Read: Data scientists are lazy)
- pseut 14y agoI'd need to dig into the source code of this project more to be convinced, but I trust the implementation and algorithm choice in core R way more than any other stats package except possibly SAS: among other reasons it has far more of the right eyeballs looking at the code. Picking numerically reliable implementations of most estimators is not trivial without the right training. Now, I don't know how much needed to be rewritten for this project, so that's just my general opinion.