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The ‘ggRtsy’ package works with ‘ggplot2’ to add an additional color
palette to the user’s repertoire. This is the goghColors
dataset, which contains the RGB and hex codes of colors picked from Van
Gogh paintings. It has been broken down into an easy-to-use color
palette based on Van Gogh’s most famous paintings, in the
gogh_palettes_pop
list.
It also has a function that work alongside ggplot to create more interesting data visualizations and add contextual information to the user’s plots.
RectangleFiller() - divides data visualizations into a specified number of colored quadrants based on the number of input colors, improving the readability of graphs.
scale_color_gogh() - used to color the point/lines of your ggplot
scale_fill_gogh() - used to fill the inner color/bars of your ggplot
rgbToHeX() - used to convert rgb color codes to hex color codes
gogh_interpolate() - interpolates between the colors in
gogh_palettes_pop
Using Hex Codes from the dataset goghColors
, three
colors were added on top of a ggplot() sample scatter plot. Based on the
plot, the function automatically calculated three equal widths of the
rectangles, and stretched them to upper and lower bounds on the
y-axis.
RectangleFiller(plotExample, c("#e32636", "#9966cc", "#f4c2c2"))
cafeTerrace
color
palette:ggplot(exampleData, aes(x = height, y = mass, color = birth_year)) +
geom_point(size = 3) +
scale_color_gogh(palette = "cafeTerrace", discrete = FALSE, reverse = TRUE) +
theme_minimal()
almondBlossoms
color
palette:ggplot(storms, aes(x = category, fill = status)) +
geom_bar() +
scale_fill_gogh(palette = "almondBlossoms", discrete = TRUE, reverse = FALSE) +
theme_minimal()
This package also comes with rgbToHex(), converting rgb colors into hex code colors.
rgbToHex(c("(225, 104, 39)", "(60, 90, 202)"))
#> [1] "#e16827" "#3c5aca"
Get the development version from GitHub:
# Install remotes if needed:
# install.packages("remotes")
::install_github("katelyndiaz/ggRtsy") remotes
And load it with
library(ggRtsy)
starryNight
= ‘#23338C’, ‘#30478C’, ‘#5377A6’,
‘#BDBF7E’, ‘#BFA72C’
sunflowers
= ‘#74A629’, ‘#F2EB80’, ‘#F2E085’, ‘#BF9821’,
‘#A6681C’
selfPortrait
= ‘#021F59’, ‘#63A5BF’, ‘#8C701C’,
‘#BF9B6F’, ‘#730202’
wheatField
= ‘#73A9D9’, ‘#477332’, ‘#D9B13B’, ‘#D98E32’,
‘#A66329’
cafeTerrace
= ‘#2A6BBF’, ‘#3F6CA6’, ‘#F2C84B’,
‘#D99036’, ‘#BF6734’
rhoneStarry
= ‘#073359’, ‘#27668C’, ‘#5A98BF’,
‘#60734D’, ‘#A3A658’
irises
= ‘#415AA6’, ‘#6382BF’, ‘#65A67C’, ‘#8CA653’,
‘#A66D58’
almondBlossoms
= ‘#236E8C’, ‘#20788C’, ‘#49B3BF’,
‘#41BFBF’, ‘#BDBF75’
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.