[R] How to understand the mentality behind tidyverse and ggplot2?
Hadley Wickham
h@w|ckh@m @end|ng |rom gm@||@com
Wed Nov 18 20:37:57 CET 2020
I'd recommend two places to get started:
* https://r4ds.had.co.nz/data-visualisation.html for a quick intro to
ggplot2 (and the rest of the book explains the general tidyverse
philosophy)
* https://ggplot2-book.org for the full details of ggplot2.
Hadley
On Wed, Nov 18, 2020 at 11:37 AM 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.
--
http://hadley.nz
More information about the R-help
mailing list