In Section 3.5

The first argument of facet_wrap() should be a formula, which you create with ~ followed by a variable name (here “formula” is the name of a data structure in R, not a synonym for “equation”). The variable that you pass to facet_wrap() should be discrete.

However, the ggplot2 documentation for facet_wrap() states that the formula interface is there for compatibility in fa

There is an option to create captions at the top of figures, fig.topcaption=TRUE, described here. I note it isn't documented in the bookdown book, and the functionality is hard to find. It appears to live in the knitr package here. Would it be u

Just a quick note that the link to the new style guide (on this page: http://adv-r.had.co.nz/Style.html) is incorrect - it links to the advanced R index (https://adv-r.hadley.nz/index.html) rather than to the new style guide (https://style.tidyverse.org/).

Thank you for your patience - I'm a little rusty with my Githubbing or I'd submit a push request.

For more general use, in md2mm you should at least allow a max.level argument to select the maximum level in markdown files that will be shown in the mindmap.

max.level = 1: show only chapter level
max.level = 2: show only chapter/section level
...

Would folks be supportive of archiving this repository on zenodo? This would provide a doi which would be helpful when citing it. Thoughts?

Hey @njtierney,

Not that you need to-you could disable that option all together. But you can add an epub or pdf version to your .travis.yml like this example:

https://github.com/tidyverse/style/blob/e2d76307a7ec8feecb4b3da72501687b7f4ba770/.travis.yml#L17-L18

I would offer a PR but I don't know tic and am afraid of screwing up your build!

Alison

see #209 cc @noamross

putting the issue here although things will happen in another repo, just to keep track of tasks related to the release

Add guide in daviddalpiaz/appliedstats#79 (comment) to the front matter with a link in the lower left for "spot a typo?"

Potentially, might want to add in hypothes.is (e.g. a "suggest"/annotation layer.)

Section 2.5.5: I recommend adding at least one sentence about each of the figures, just describing what the plot is, even if it seems obvious. In particular, for the ROC curve, I think it's important to describe what the shaded ribbon represents. Is it a range across all resampling iterations? Some estimate of a 5th/95th percentile?

Also, when I visit the linked documentation page https://mlr3v

保存高质量的 png 文件，同时文件比较小，pdf 文档实际是 png 图片

# install.packages('devtools')
devtools::install_github("r-lib/ragg")
devtools::install_github("ilarischeinin/rasterpdf")

library(ggplot2)
library(rasterpdf)

raster_pdf("diamonds-agg.pdf", res = 300, width = 6, height = 5, 
           png_function = ragg::agg_png)
ggplot(diamonds, aes(carat, price)) + geom_point()
dev.off()

参考 htt