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First 11 colors in: https://github.com/ayu-theme/ayu-colors

Three palettes: light, dark, mirage.

Ordering: check the new Tableau 10 color palette ordering (also used in Observable Plot).

Hi, I noticed your ggsci package have been updated to v2.7, however when I install it is till 2.4, and can't be updated. Do you have any solutions? Thanks in advance!

Try different data, larger binwidth.

Hi,

Thank you for this wonderful package.

Using scale_colour_xxx() throws a warning with recent ggplot2:

Warning message:
The `scale_name` argument of `discrete_scale()` is deprecated as of ggplot2 3.5.0.

It seems to pertain to this line :

From what I understood from tidyverse/ggplot2#1312, the deprecation means that the name should be simply removed: discrete_scale("fill", palette=pal_lancet(palette, alpha), ...).

Using ggsci 3.0.2 (the version that removes scale_name argument) with ggplot2 < 3.5.0, it will complain:

Error in `discrete_scale()`:
! argument "scale_name" is missing, with no default
Backtrace:
 1. ggsci::scale_color_npg()
 2. ggplot2::discrete_scale(...)
 3. ggplot2::ggproto(...)
 4. rlang::list2(...)
Execution halted

There are two options:

1. We could declare the minimum version ggplot2 (>= 3.5.0) in DESCRIPTION, As suggested by #25 (comment), although that would require users to upgrade ggplot2.

2. Determine the ggplot2 version live and then branch off, to keep it backward compatible. This seem related: shiny:::is_installed().

Dear authuors：

when I use ggsci， the scale_color_npg() only provied 10 colors，in fact ，I need 15 colors，how can I fix it?

Error in scale_color_cosmic("hallmarks_light") :
could not find function "scale_color_cosmic"

The arrow-light theme is optimized for accessibility, with arrow-dark for dark backgrounds.

Hi Nan,

Thanks for this great package!

I just discovered that you can use global options to set the scale for all your plots:

options(ggplot2.discrete.colour=ggsci::scale_colour_lancet)
options(ggplot2.discrete.fill=ggsci::scale_fill_lancet)

I think this might be worth showing in the doc and in the pkgdown website.

Prepare for release

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Prepare for release

• Check current CRAN check results
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This is a feature request.
Is it possible to manually re-order the color palettes?
For example, I would like the colors of scale_color_tron to be red, yellow, blue, green..
Great package, BTW.

https://tailwindcss.com/docs/customizing-colors

https://getbootstrap.com/docs/5.3/customize/color/#all-colors

Hi， thank you for your great tool! It is very useful for us to draw a beautiful picture. And I have a question about can I create my own color pattern？ For example, if I want use some colors from nejm and some colors from， and combine these colors into a scale_color_xx pattern. Then, I can use scale_color_XX to draw my picture?

Prepare for release

• Check current CRAN check results
• Check licensing of included files
• Review pkgdown reference index for, e.g., missing topics
• Bump version
• Update cran-comments.md (optional)
• Update NEWS.md
• Review pkgdown website
• urlchecker::url_check()
• Check with local machine
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• revdepcheck

Submit to CRAN

• Draft GitHub release
• Submit to CRAN via web form
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Wait for CRAN

• Accepted 🎉

Request from @dcgerard:
http://memory-alpha.wikia.com/wiki/Starfleet_uniform_(mid_2260s-early_2270s)

such as
http://starfleet1701st.yuku.com/topic/432/Uniform-Colours-by-Pantone-Reference
http://www.color-hex.com/color-palette/6450

So it turns out that COSMIC used different shades of the same colors for the Hallmarks of Cancer than in Weinberg's "Hallmarks of cancer: the next generation" paper. I would like to add Weinberg's (they are lighter shades and thus easier to use in plots), but am not sure where. Do you think this is a worthwhile addition and, if so, where would you like me to add them (in the COSMIC palette or a new palette)?

Thanks,
Josh Cook

R has a check note when installed package size is > 5Mb:

  installed size is  5.1Mb
  sub-directories of 1Mb or more:
    doc    2.7Mb
    help   2.3Mb

The doc here is the vignette with the figures embedded. The help here contains the output figures from README.Rmd. Since they have roughly the same content, the limit is ~2.4Mb max for each. We should prioritize the README file figure legibility as it's also served on GitHub repo besides CRAN and the pkgdown site.

For a PNG-based solution, ragg::ragg_png() generates the minimal size PNG files. We have to keep fig.width = 10.6667 and fig.height = 3.3334. While we are reaching the lower legibility limit when keeping dpi = 72. Set fig.retina = 1.2 for vignette and set fig.retina = 2 for README. This gives us 2.3 Mb + 2.6 Mb = 4.9 Mb.

For a SVG-based solution, svglite produces the minimal size SVG files. They are super legible (vector-based) and can dramatically reduce the figure sizes. However, the current code example contains too many data points and generates ~100Kb figures per palette.

Conclusion:

1. Switch to svglite device for both README and vignette.
2. Create a revised code example that generates much smaller SVG outputs.

Document one possible solution when the number of categories in the data is larger than the number of colors in the palette: https://nanx.me/blog/post/ggplot2-color-interpolation/