geom_scdensity

[hrbrmstr]

geom_scdensity

[hrbrmstr]

Awesome folks.

Lemme try an incremental bookdown tutorial/splainer/vignette on this (chapter a topic). That way I can get something going right away and keep y'all interested & informed. And, there are a cpl more straightforward geoms that I can pull up that "need" implementing, so there's likely something for everyone, too.

[hrbrmstr]

(just a quick note as I'm traveling a bit through Wed and internet is spotty for me)

Wow! You folks are amazing (not exaggerating).

I'd like to be able to accommodate everyone so lemme ponder a good format. Wld folks be up for both some static resources (e.g. vignette-ish tutorial) and a live (but also recorded) session or two (esp a Q&A session or two)?

[hrbrmstr]

Alright (phew) I'm done traveling this week will get something going by tomorrow for this.

[hrbrmstr]

And, the first part (which is more of a "please ensure you've done these things first") is up.

https://rud.is/books/creating-ggplot2-extensions/

I'll be linking to each new chapter as I get through them (one more coming today at a minimum) and the bookdown source will eventually be exposed on GitHub but I'm writing this for y'all vs all the gitstalkers so I'd rather you see the content first before anyone else notices. Feel free to drop "what the heck?!"'s or other q's here or DM me on Twitter if q's in an open forum isn't your cup of tea (ages ago I used to be more than a bit hesitant to ask q's in an open forum, therefore I grok how others might be uncomfortable doing so as well).

[hrbrmstr]

And, as promised, here is the first "real" chapter: "Demystifying ggplot2" : https://rud.is/books/creating-ggplot2-extensions/demystifying-ggplot2.html

It covers the basic structure of a ggplot2 plot, how it goes from grammar of graphics to final visualized output and delves into the objects that are created along the way.

There are exercises at the end which will really help you later on down the road.

I'll give folks a cpl of days to work through it before posting another chapter.

[xvrdm]

Hi Bob, I would be very interested to see how a contribution is made!! Thanks a lot for offering.

[JoGall]

I'd love to see behind the scenes of a ggplot2 geom / stat, thanks!

[dmi3kno]

I am in as well

[kanishkamisra]

Very much interested in knowing how to make a geom! Thanks a lot for this :)

[timtrice]

Interested, as well.

[timtrice]

Personally I'd prefer a vignette-type document but I'm also willing to transcribe a video if it's easier for the community.

[dmi3kno]

I would also enjoy bite-size assignments: "take this code, modify function x to produce y". I would appreciate if you could outline your approach to starting new geom - what to do first, what to keep in mind, where should one start (I suspect there are many examples to copy). Very happy to do something on my own and have other people mock/comment on my code.

[xvrdm]

Very interested in a video+vignette approach! 2 things I find particularly intriguing : how do you test geom before submitting a pull request and what does a properly formatted/documented pull request look like?

[LVG77]

Hi Bob, thank you for your offer! I am very much interested in learning more about the creation of ggplot2 geoms and the overall process of submitting a PR.

[kanishkamisra]

A vignette seems great to me, a live session would depend on timings but if I am free I will surely join!

I'd like to sign in as well. I built a package for my company that "creates" a geom but is actually just a wrapper for geom_point, and it's very clunky. I'd love to have a better understanding on how to properly build a geom. A vignette would be great.

[MHenderson]

I am also interested. Thanks.

[bhive01]

I'd like to add to the pile. For as long as I've used ggplot2, I've rarely been able to understand its guts. This would be a good primer.

[malcolmbarrett]

What a great introduction. I would love to be involved.

[sefabey]

Interested, gotta shake up this imposter syndrome (though I know little).

[ateucher]

What they said ⬆️

[cimentadaj]

What they said ⬆️

Hi Bob, I am interested in seeing how a contribution is made!! Thank you for the offer.

[mvevans89]

I'd definitely be interested. Seems like with this amount of interest, a vignette may be easiest but anything would be 💯

[robertmitchellv]

Just saw your tweet Bob; I’m very keen to dive deeper into geoms! If you can squeeze me in that is.

[smouksassi]

looking forward to learn more and work on s stat quantile that can do ribbons using rqss

[jthomasmock]

Looking to contribute!

[AndreaPi]

I'm interested too! Video or vignette is the same, whatever works better for you. I would be happy to contribute, with my beginner-level skills (never loaded a package on CRAN before :-)

[daranzolin]

Sign me up!

[sibusiso16]

I’m also interested, thank you!

[afayyazuddin]

Thank you for your offer! I am also interested.

[xdoan]

This sounds great! I would also love to contribute. Thanks so much for this great opportunity.

[eringrand]

I'm also interested!

[EmilHvitfeldt]

What they said ⬆️

[jkaupp]

What they all said ^

[smouksassi]

thanks following well so far great way to let us look at the ggplot2 internals. would be good to give us some examples that help us see how the internals change as depending of our use case we might not have exposure to certain ways on how ggplot2 can be used.

[xvrdm]

Thanks a lot for getting this started so quickly! Shall we submit pull request for typos? I am not sure if we can on private repos...

[JoGall]

Thanks a lot for doing this -- a perfect format for learning something I've been meaning to for ages!

[jjchern]

Hey Bob, thanks for your effort in creating a supportive atmosphere within the R community. I wanted to let you know I built my first ggplot2 extension thanks to your tutorial, especially the suggestion on keeping a local copy of ggplot2. The package is also on CRAN now (it's my first CRAN package).