hneth / unikn Goto Github PK

When comparing different custom palettes using seecol function, is there any way to specify palette names instead of the default "pal#"? Thanks!

Dear,

When I try to use the dim parameter in the slide command (slide(dim = c(3, 1)), it does not work and it shows a square. Any thoughts about what is going on?

Best

Any tip on how to center the text? It seems it depends on the length and size of the text, but I could not figure out how to do it.

unikn is a fantastic package. I'm just having trouble with the small size of hex code in seecol(), which is too small to read when displaying 14 or more colors. Here an example:

library(unikn)
library(magrittr)
unikn::usecol(c("black","blue","white"), n=14) %>% unikn::seecol(hex=TRUE)

I hope there is a workaround to that. Thank you

When using seecol(pal = list(pal_1, pal_2)) to compare (or scale) multiple color palettes, some custom color palettes (e.g., pal_freiburg_basic from the README) are currently not found.

When using seecol() to mix and extend color palettes, the names of base R colors are repeated (e.g., "white" becomes "whitewhite").

The use of a title argument in seecol() may be mnemonic, but is non-standard. In R's plot() command, there are nice and short main and sub arguments for distinguishing between a main title and a subtitle.

Suggestion: Deprecate title and use the default arguments main and sub instead.

The color palettes included in the unikn package are based on the corporate design specifications of the University of Konstanz. However, the package's color-related functions makes it easy and straightforward to define color palettes for other purposes and institutions. (See the newpal() function or our vignette on Institutional colors for instructions.)

Have you used unikn to create your own color palettes? If so, please let us know!

We collect color palettes from other institutions to make them available to R users in future versions of unikn.

To enable us to verify and provide appropriate credit to your contributions, please provide us with the following information:

1. your code (e.g., the newpal() command creating your color palette),
2. your source (e.g., some URL with color definitions),
3. your name and some contact information (e.g., an Email address).

We're looking forward to your contributions!

Given that usecol() and newpal() are powerful and versatile functions for creating new color palettes, it would make sense to include a demo() function that applies a given palette to typical visualizations.

For instance, see the demoplot() function of the colorspace package.

PS: By contrast, the show_col() function of scales is similar to seecol().