artpack (version 0.1.0)

packer: Data Generation for Circle Packing

Description

A tool for creating a data frame of values that create a circle packing design when plotted. When the default circle_type "whole" is used, the output should mapped with geom_polygon in a ggplot. When "swirl" is used, the output should be mapped with geom_path for the best results.

Usage

packer(
  n,
  min_x = 0,
  max_x = 100,
  min_y = 0,
  max_y = 100,
  big_r = 5,
  med_r = 3,
  small_r = 1,
  color_pal = NULL,
  color_type = "regular",
  circle_type = "whole"
)

Value

A Tibble

Arguments

n

The total number of circles you would like the function to attempt to create. A single numeric value with a minimum value of 10.

min_x

The minimum limit of the x-axis - the left 'border' of the canvas A single numeric value.

max_x

The maximum limit of the x-axis - the right 'border' of the canvas A single numeric value.

min_y

The minimum limit of the y-axis - the bottom 'border' of the canvas A single numeric value.

max_y

The maximum limit of the y-axis - the top 'border' of the canvas A single numeric value.

big_r

The radius used for your 'big' sized circles A single numeric value.

med_r

The radius used for your 'medium' sized circles. A single numeric value.

small_r

The radius used for your 'small' sized circles. A single numeric value.

color_pal

A vector of hex color codes that will be mapped to the data.

color_type

Default is "regular" - The colors will be mapped in order from big circles to small circles. "reverse" - The colors will be mapped in reversed order from small to big circles. "random" - The colors will be mapped randomly to any sized circle.

circle_type

Default is "whole" - Regular circles. "swirl" - circles are replaced with spirals. Spirals should be mapped with geom_path in a ggplot for the best results.

Examples

library(ggplot2)
set.seed(0310)
packed_circles <- packer(
  n = 50, big_r = 5, med_r = 3, small_r = 1,
  min_x = 0, max_x = 100, min_y = 0, max_y = 100
)
packed_circles

packed_circles |>
  ggplot(aes(x, y, group = group)) +
  theme_void() +
  theme(plot.background = element_rect(fill = "black")) +
  geom_polygon(fill = "white", color = "red") +
  coord_equal()