> Jupyter and R is a bit iffy since the R kernel is not native. Although the kernel works fine, setting it up has a ton of manually-installed dependencies, and in-line plots flat-out give unexpected output. (I've had to cheat by embeding charts via Markdown. Although that has the benefit of having the charts be responsive)
You know, to be completely honest, I've never used it directly. I've always used it on our platform. It's very possible that our engineers already did all that setup so it "just works." I took the original post: http://r-statistics.co/Statistical-Tests-in-R.html and reimplemented it in an R notebook with some simple plots at the end, but yeah, the plotting just sort of works for me. I didn't realize I had an incomplete view of the complexity of getting that working :(
You know, to be completely honest, I've never used it directly. I've always used it on our platform. It's very possible that our engineers already did all that setup so it "just works." I took the original post: http://r-statistics.co/Statistical-Tests-in-R.html and reimplemented it in an R notebook with some simple plots at the end, but yeah, the plotting just sort of works for me. I didn't realize I had an incomplete view of the complexity of getting that working :(
https://app.dominodatalab.com/earino/statistical_tests/view/...
We also render the notebooks. The difference is that we also let you run them :)