[R] How to understand the mentality behind tidyverse and ggplot2?

ei m@iii@g oii iisse@@@ ei m@iii@g oii iisse@@@
Wed Nov 18 19:49:12 CET 2020


RTFM, perhaps?

Or even worse, buy his book?

el

—
Sent from Dr Lisse’s iPad Mini 5
On 18 Nov 2020, 20:39 +0200, Ben Tupper <btupper using bigelow.org>, wrote:
> Hi,
>
> I feel your pain. As you have likely discovered yourself, there are
> just about 10^14 tutorials/posts/tips out there on ggplot2. See
> https://rseek.org/?q=+ggplot2+tutorial for example. Yikes!
>
> One resource I found most helpful when I started is
> https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html#1.
> This is a terrific resource for getting the feel of layering-up.
>
> Hope you find it helpful.
>
> CHeers,
> Ben
>
> On Wed, Nov 18, 2020 at 12:37 PM C W <tmrsg11 using gmail.com> wrote:
> >
> > Dear R list,
> >
> > I am an old-school R user. I use apply(), with(), and which() in base
> > package instead of filter(), select(), separate() in Tidyverse. The idea of
> > pipeline (i.e. %>%) my code was foreign to me for a while. It makes the
> > code shorter, but sometimes less readable?
> >
> > With ggplot2, I just don't understand how it is organized. Take this code:
> >
> > > ggplot(diamonds, aes(x=carat, y=price)) + geom_point(aes(color=cut)) +
> > geom_smooth()
> >
> > There are three plus signs. How do you know when to "add" and what to
> > "add"? I've seen more plus signs.
> >
> > To me, aes() stands for aesthetic, meaning looks. So, anything related to
> > looks like points and smooth should be in aes(). Apparently, it's not the
> > case.
> >
> > So, how does ggplot2 work? Could someone explain this for an old-school R
> > user?
> >
> > Thank you!
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> Ben Tupper
> Bigelow Laboratory for Ocean Science
> East Boothbay, Maine
> http://www.bigelow.org/
> https://eco.bigelow.org
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

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