Hacker News: hadley

New comment by hadley in "ggsql: A Grammar of Graphics for SQL"

hadley — Tue, 21 Apr 2026 02:45:02 +0000

You’ll be able to adjust plots. But you have to do it with code, not UI.

New comment by hadley in "Nano Banana 2: Google's latest AI image generation model"

hadley — Thu, 26 Feb 2026 22:28:09 +0000

Let alone that Nano Banana 2 is Gemini Image 3.1

Bluffbench: Effective agents need to prioritize evidence over preconceptions

hadley — Thu, 13 Nov 2025 17:41:54 +0000

Article URL: https://simonpcouch.github.io/bluffbench/

Comments URL: https://news.ycombinator.com/item?id=45917921

Points: 1

# Comments: 0

New comment by hadley in "Positron – A next-generation data science IDE"

hadley — Fri, 25 Jul 2025 11:19:00 +0000

Students also pay :)

New comment by hadley in "Positron – A next-generation data science IDE"

hadley — Fri, 25 Jul 2025 11:18:36 +0000

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

New comment by hadley in "Positron – A next-generation data science IDE"

hadley — Fri, 25 Jul 2025 10:58:16 +0000

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.

New comment by hadley in "Big Book of R"

hadley — Fri, 11 Apr 2025 16:50:33 +0000

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

New comment by hadley in "Big Book of R"

hadley — Thu, 10 Apr 2025 20:16:35 +0000

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

New comment by hadley in "Show HN: Create Music with R"

hadley — Sat, 13 Jul 2024 18:28:13 +0000

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

New comment by hadley in "Generalizing Support for Functional OOP in R"

hadley — Tue, 28 May 2024 22:51:03 +0000

Why is that disappointing?

New comment by hadley in "The design philosophy of Great Tables"

hadley — Thu, 04 Apr 2024 18:46:19 +0000

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

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:36:42 +0000

Hmmmm, I think that's something we could probably help with in dbplyr by providing something like `last_sql()` that would return the most recent SQL sent to the database. (By analogy to ggplot2::last_plot() and httr2::last_request()/last_response()).

I filed an issue so I don't forget about this: https://github.com/tidyverse/dbplyr/issues/1471

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:35:12 +0000

I love this framing :)

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:34:44 +0000

For the most common cases, the tidyverse now only requires {{ }}. This allows you to tell tidyeval functions that you have the name of a df-var stored in an env-var. Do you have specific cases that you find frustrating?

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:33:25 +0000

Oh, you mean the pro drivers? Unfortunately we can't give those away because we have to pay several $100k a year just to get access for our customers. Most of the pro drivers do have equivalent open source versions that you should be able to use instead.

Hmmm, I'd still try generating the table with quarto (since you can output word documents), or try gt (https://gt.rstudio.com), which I know has much greater control over output, and supports RTF output (https://gt.rstudio.com/reference/as_rtf.html) which should import cleanly into word.

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:31:11 +0000

(1) You might want to check out https://github.com/t-kalinowski/Rapp by my colleague Tomasz

(2) I think part of that is in scope for strict (https://github.com/hadley/strict). You might also be well served by adopting some more data validation tooling, e.g. pointblank (https://rstudio.github.io/pointblank/).

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 23:28:28 +0000

I'd highly encourage you to look into shiny more. No, it's not django, but it's a much richer framework than dash, and you can always bring your own HTML if what it generates for you isn't sufficient.

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 18:19:06 +0000

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.

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 17:57:46 +0000

We now provide snapshotted CRAN binaries (for many platforms) at https://packagemanager.posit.co.

New comment by hadley in "R: Introduction to Data Science (2019)"

hadley — Sat, 02 Mar 2024 17:57:17 +0000

I'd love to hear more about this because from my perspective renv does seem to solve 95% of the challenges the folks face in practice. I wonder what makes your situation different? What are we missing in renv?