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What's Next for R?

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Re: What's Next for R?

#71

Earlier quoted context omitted.

It's based pretty directly on S, which was designed in the mid 1970s. Yeah, it has very rough edges here, but hard to argue that they should have foreseen the future back then. That said, the real value in R seems to be the libraries. Has anyone looked at a shim that could make those libraries available to Python in a reasonably natural way? If that existed, the R language itself could be allowed to finally rest in p…

There is something to be said to build a programing language to solve a certain task in mind. Being vector aware and having a dataframe support in R is much more elegant for me than Python's add on library. It's like Scala building on top of Java but trying to have an Actor paradigm vs Erlang built from get go around concurrency and choosing Actor as it's main concurrency paradigm. You can see this in other language…

I'm not unsympathetic to this idea, but after learning my 87th domain-specific language that couldn't be bothered with reasonable control structures, or even solid error checking, it's really starting to wear.

Statisticians aren't that interested in writing a really good programming language. And why should they be? They have better things to do. The trick is to not take on responsibility for something you don't care about, if you can help it.

Re: What's Next for R?

#72
post #70

Future could be predicted with some data from the past. That's a bit ironic that we are discussing about the future of R. Programming languages never got this much attention. Everyday is a new day for a programming language and specifically R-programming enthusiasts. R is experiencing threats from Python, Julia but R still survives. R’s future is as bright as a sky with data.table and spark’s API with R.

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