[smabie]

I'm not an R user, but you should try Julia for data analysis. It seems as flexibility (maybe more) than R, while also having blazing performance.

I do like Pandas concept of row indices, which I know Julia (and I believe, R) lack.

[scottlocklin]

You should try using R; the real world performance is actually better than Julia in every way that matters. Yes, Julia has a better data frame object; that's why we use data.tables().

Also Wes probably got the idea for row indeces from R.

[disgruntledphd2]

The idea for row indices 100% comes from R, as it's been in S for longer than I've been alive ;)

[ekianjo]

Tbh R's performance is only an issue when you deal with really big datasets. Most of the time R does just fine, and has a lot more libraries that Julia can ever hope to have.

[kaitai]

I have used Julia a bit and really enjoyed it. The only reason I do not use it for work is lack of libraries. I know I could 'be the change I want to see in the world' and contribute, but given the pace of things at work I cannot fit that in on the company dime at this time...

[sundarurfriend]

Could you describe what kind of libraries you found lacking in Julia? I did get a feeling that lots of long-tail stuff was missing, when I was looking through Julia packages some time ago, but only in a vague "this doesn't seem that exhaustive" sense. Knowing what specifically has been found lacking would be useful.