[tonyarkles]

I'm in potentially the target demographic for this. I regularly bounce between R, Python, Maxima, and occasionally MATLAB/Octave. Passing data between these is usually done using the lowest common denominator: CSV. Having four completely different interfaces to these tools is a hassle. I'm also not a big fan of Jupyter and if this feels better for me it might be a decent Jupyter replacement even without the cross-language stuff.

[MostlyStable]

I'm someone who enjoys figuring out the details of making a nice looking plot (in base R, I can't stand ggplot), but even as someone who enjoys it, LLMs are pretty much good enough that if I explain to them how I want the plot to look and how my data is structured, they can generate code that works first shot. It seems to me that, at this point, if you are already doing some coding in one of the above languages but either don't like or aren't comfortable making the plots using them, that LLMs can solve it for you. Unless they are significantly worse in the non-R options (which could be the case, It wouldn't surprise me if R has more plotting examples in the training set than the other languages).

[REDS1736]

Sorry for the off-topic question but would you mind to elaborate on why you can't stand ggplot? I personally haven't spent too much time with the r base functions but have come to absolutely adore ggplot for graphing and am thus very interested in learning about potential reasons to use r base plotting functions instead!

[MostlyStable]

I think it's just too different from base R, and I had spent too long in base R before tidyverse/ggplot became a thing. By the time it came around, I was already good enough to do basically all my plotting without it, and having to learn an entirely new set of syntax just annoyed me.

My reaction is much more emotional than rational.

[Breza]

I guess I'm lucky to have learned it in 2012 when base, ggplot, and lattice were all being taught at the same time. I love ggplot, but I dip into base from time to time when hist(students$age) is faster then ggplot(students, aes(x = age)) + geom_histogram()

[tonyarkles]

Thanks for elaborating on that, I was wondering too. In a very similar way (with a different outcome), my first real introduction to R was due to the "A Layered Grammar of Graphics" paper while doing some tangential research during grad school. I fell in love with the abstractions in the paper and reluctantly learned R so that I could get access to ggplot :).

As a side note, my research ended up essentially discovering Flame Graphs before Brendan Gregg was publishing/popularizing his version. His are much better than mine, but I take some comfort knowing that the ideas I was coming up with in grad school were decent!