| Type: | Package |
| Title: | Use XKCD's "Painbow" Colormap in ggplot2 |
| Version: | 1.0.1 |
| Author: | Steve Haroz |
| Maintainer: | Steve Haroz <painbow@steveharoz.com> |
| Description: | XKCD described a supposedly "bad" colormap that it called a "Painbow" (see https://xkcd.com/2537/). But simple tests demonstrate that under some circumstances, the colormap can perform very well, and people can find information that is difficult to detect with the ggplot2 default and even supposedly "good" colormaps like viridis. This library let's you use the Painbow in your own ggplot graphs. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| Imports: | ggplot2 |
| Suggests: | knitr, patchwork, spelling, rmarkdown |
| Depends: | R (≥ 2.10) |
| RoxygenNote: | 7.1.2 |
| Language: | en-US |
| BugReports: | https://github.com/steveharoz/painbow/issues/new |
| URL: | https://github.com/steveharoz/painbow |
| NeedsCompilation: | no |
| Packaged: | 2021-11-11 14:07:41 UTC; sharo |
| Repository: | CRAN |
| Date/Publication: | 2021-11-11 19:40:02 UTC |
An array of colors from XKCD's painbow comic
Description
This set of 192 colors is the Painbow. The colors were extracted using the pixels from the color bar on the right side of the comic.
Usage
painbow_colors
Format
An array with 192 hex color strings.
Source
A 2D heatmap from XKCD's painbow comic
Description
A 2D heatmap from XKCD's painbow comic
Usage
painbow_data
Format
A data frame with 58,425 rows and 3 variables:
- x
x-axis position
- y
y-axis position
- value
A value from 0 to 1
Source
Painbow colormap
Description
Use XKCD's "Painbow" colormap
Usage
scale_color_painbow(...)
scale_colour_painbow(...)
scale_fill_painbow(...)
Arguments
... |
Any arguments are passed to |
Details
The colors were extracted directly from the colorscale in XKCD's image (https://xkcd.com/2537/).
Author(s)
Steve Haroz
See Also
See ggplot2:scale_fill_gradientn() for additional arguments.
Examples
# You can use it for continuous data
library(ggplot2)
ggplot(faithfuld) +
aes(waiting, eruptions, fill = density) +
geom_tile() +
scale_fill_painbow()