Julia tips for R useRs | Codementor


#1

Checkout my living document post on Julia tips for R useRs


#2

I really like that RCall.jl is available and you making a tutorial. I hope it draws people to Julia.

EDIT: [Outdated info from post deleted; was the original reason for posting, lesser point[s] I included kept.]

[For me that don’t know the R ecosystem and what’s out there, is it important to learn R and use together? Not that I’m doing science/statistics, but say I was.]


#3

What’s really missing for me in Julia is a Hadlyverse where everything is consistent (data first, etc.) and everything interacts well together.


#4

Thanks! Silly mistake by me! I have updated the example to make it more awesome!


#5

It’s not data-first because not everyone is working on data. It’s types-first because then anyone can build performant packages, like a data-first data ecosystem.


#6

Not sure what you mean. In the hadlyverse (but not only) all functions take the “data” as a first argument, so everything is very consistent.