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Students also pay :)


they don't pay the lab for use of the software


We're working on this! Education is really important to us so this is 100% a problem we want to solve.


We do discount heavily for academia: get 50% off for research and 100% off (i.e. free) for teaching. But I do get that our pro products largely solve problems that folks encounter in larger enterprises, and you may not see the value inside an academic department. I'm also always happy to learn how we could do better, please feel free to reach out to hadley@posit.co.


Thank you for the response! My key recommendation is to unbundle. At one point we have been told "It got 35% more expensive, but it does so much more now it supports Python" - we didn't ask for Python. To effectively use Connect with private packages you need this other full-blown institutional Package Manager license, 99% of your users will not need. Also per-named-user pricing (rather than per active seat) is so aggressive. A user uses a shiny app once in a year, still need a full per year license.... I feel Posit is one of the most agressive companies in terms of upselling, while positioning as this benevolent PBC / Open-Source institution - just go full Oracle at least we will know where things stand.


You might be interested in https://github.com/posit-dev/plumber2


I've wrapped a bunch of providers with ellmer: https://ellmer.tidyverse.org


I’m using ellmer to power some research on LLMs at my job—it’s great!


I found a wild Hadley!

Signed, "your biggest fan" from NIEHS. :P


That’s exactly how ggplot (not 2!) worked: https://github.com/hadley/ggplot1


Why is that disappointing?


Maybe disappointing is not a good way to describe it but I couldn’t find a better word. I meant that it seems that multiple dispatch won’t be highlighted.

I would have liked to see a better S4 - fixing some of its issues and adding things like before/after/around method - and I’m not sure this goes in that direction. It can still be an improvement in practice over the rarely-used S4 though.


You should check out https://siuba.org and https://plotnine.org :)


I love this framing :)


R definitely has its warts, but I strongly believe that underneath them lies a beautiful and quite elegant language that's extremely well suited to the challenges of data analysis. If you're already a programmer, you might find something like Advanced R (https://adv-r.hadley.nz) to be useful to get a sense of what R really is as a programming language.


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