00:27:47 Lydia Gibson: What are npc unts?
00:27:56 Michael Haugen: "npc" (Normalized Parent Coordinates)
00:28:02 Michael Haugen: 0 to 1
00:28:07 Lydia Gibson: Oh okay. Thank you!
00:28:16 Michael Haugen: Same thing that was used for faceting annotations.
00:28:43 Michael Haugen: so .8 is l80 percent of the way up the y axis for example.
00:28:47 Lydia Gibson: I missed annotations last week. I’ll have to go back and watch the session.
00:43:21 SriRam: I use patch and cowplot
00:50:00 Kent Johnson: https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/
00:50:09 Lydia Gibson: Thank you!
00:50:17 Michael Haugen: The arrows are in chapter 8.3 with geom and curve for example, annotate(
geom = "curve", x = 4, y = 35, xend = 2.65, yend = 27,
curvature = .3, arrow = arrow(length = unit(2, "mm"))
) +
00:51:16 Michael Haugen: and arrows came up in the discussion as a discussion of the GROB and arrows and how to render your plot so the arrows are not distorted.
00:51:16 Ryan Metcalf: Perfect! “arrow” was the argument I was after!
00:51:37 Michael Haugen: And then we talked about ggsave as a part of that
00:53:32 Michael Haugen: we all will be at Cedric’s level by the end of this bookclub right?
00:53:47 SriRam: :D
00:53:52 Lydia Gibson: Hopefully lol
00:54:20 Ryan S: Thank you!
00:54:29 SriRam: Thank you
Meeting chat log
00:04:54 June Choe: https://yjunechoe.github.io/ggtrace-talk/
00:12:16 Ryan S: brilliant... didn't know this before but really simplifies the concept
00:14:08 Michael Haugen: Makes sense
00:26:15 June Choe: https://ggplot2.tidyverse.org/reference/aes_eval.html
00:26:36 Ryan Metcalf: I’m thinking in the context….I buy a car. The engineers have optimized it for longevity….but I want a hot rod….So I need to open the hood and change parts. Or, access the computer and start changing parameters.
00:32:54 SriRam: This is like scuba diving, more beautiful under the surface :)
00:33:15 Stan Piotrowski: Great analogy, SriRam!
00:33:17 Ryan Metcalf: Completely agree @SriRam!
00:36:44 June Choe: ggplot2:::ggplot_build.ggplot
00:37:58 June Choe: ggplot2:::print.ggplot
00:50:22 Federica Gazzelloni: thanks June!!!
00:50:54 SriRam: Out of curiosity, how much of this trickery (internal functions) can be learnt from "advanced R" or are these mentioned in the ggplot book ? I am just a regular user, I may not go this deep, but looks very interesting to explore/read during the Christmas break
00:51:12 Stan Piotrowski: I’m in the same boat as SriRam
00:51:32 Stan Piotrowski: Curious to know more about this but can definitely see myself getting lost in a rabbit hole
00:54:23 Ryan S: at some point -- maybe a different session -- can we dive deep into the different stat options ("identity", "count", etc.)
00:54:47 Ryan S: specifically, what do they do and when would you use them
00:55:09 Ryan Metcalf: June, this is amazing!
00:57:27 SriRam: Countdown starts...... 5 mins to come back to reality !!! :D
01:02:21 Stan Piotrowski: Great talk, June!
01:02:34 Kent Johnson: Thank you! See you next week!