[samch93]

This is the typical „CS-people“ reaction to learning R. R is a language written by statisticians for statisticians which can be a good but also a bad thing. Fact is that R is the lingua franca of statistics, most new methods will be first available in R, rarely in python, almost never in julia. Despite the superior design of julia, there are good reasons to still use R, for example, there are many state of the art libraries such as ggplot2 or data.table which beat any alternative from python or julia.

[lanstin]

And as far as community support, when I was on the R user listserv, Prof Ripley from Oxford would explain why your question was using the wrong analysis for your data, explain what analysis you should use, shoe the sample code for the right way, and then mockingly show the dumb way you could have your question answered,. Like twenty emails each British morning. I learned a lot about stats from reading it. Not so much R syntax but stats and stats reasoning.

[jhgb]

Shouldn't Vega be comparable to ggplot2, at least if you're working with HTML output?