ggRtsy

In ggRtsy: Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  message = FALSE,
  warning = FALSE,
  fig.width = 6
)

library(dplyr)
library(ggplot2)
library(ggRtsy)
library(purrr)

exampleData <- starwars %>%
 filter(mass < 1000)
plotExample <-  ggplot(exampleData, aes(x = height, y = mass)) +
  geom_point(size = 3) +
  scale_x_continuous()

goghColors

The ggArtsyR() 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.

knitr::kable(head(goghColors,10))

RectangleFiller()

ggRtsy also has a function that work alongside ggplot2() to create more interesting data visualizations and add contextual information to the user’s plots. This main function is RectangleFiller(), which divides data visualizations into a specified number of colored quadrants based on the number of input colors, improving the readability of graphs.

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", "#e16827"))

rgbToHex()

This package comes with rgbToHex, converting rgb colors into hex code colors.

rgbToHex(c("(225, 104, 39)","(60, 90, 202)"))

Gogh Painting Sets

The dataset goghPaintingSets contains a list of every Gogh painting, some information about them, and a set of colors randomly pulled from it. This can be used to make your own Gogh themed colorsets.

knitr::kable(head(goghPaintingSets,4))

gogh_palettes_pop

For ease of use, gogh_palettes_pop is a list of color palettes from the most well known Gogh paintings.

cafeTerrace = '#2A6BBF', '#3F6CA6', '#F2C84B', '#D99036', '#BF6734' .jpg!Large.jpg){width=200px}

The palettes can be used in graphs as follows:

scale_color_gogh Continuous

plotExample2 <- ggplot(exampleData, aes(x = height, y = mass, color = birth_year)) +
  geom_point(size = 2) +
  scale_color_gogh(palette = "cafeTerrace", discrete = FALSE) +
  theme_minimal()
plotExample2

scale_color_gogh Discrete

ggplot(storms, aes(x = hour, y = wind, color = status)) +
  geom_point(size = 3) +
  scale_color_gogh(palette = "wheatField", discrete = TRUE, reverse=FALSE) +
  theme_minimal()

scale_fill_gogh Discrete

ggplot(storms, aes(x = category, fill = status)) +
  geom_bar() +
  scale_fill_gogh(palette = "almondBlossoms", discrete = TRUE, reverse=FALSE) +
  theme_minimal()

ggRtsy documentation built on Sept. 16, 2023, 1:08 a.m.