Brief Examples

aRtpack can be used to create specified dataframes that will map art when fed into ggplot2 functions:

For example, square_data() creates a data frame that maps a square on to a ggplot:

library(ggplot2)
library(artpack)

# Use the function to create a data frame #
df_square <-
  square_data(
    x = 0,
    y = 0,
    size = 5,
    color = "purple",
    fill = "black"
  )

# Feed it into a ggplot #
df_square |>
  ggplot(aes(x = x, y = y)) +
  geom_polygon(
    fill = df_square$fill,
    color = df_square$color,
    linewidth = 2
  ) +
  coord_equal()

rotator will mathematically “rotate” existing data points in a data frame:

library(ggplot2)
library(artpack)

original_square <- data.frame(
  x = c(0, 3, 3, 0, 0),
  y = c(0, 0, 3, 3, 0)
)

rotated_square <- rotator(
  data = original_square,
  x = x,
  y = y,
  angle = 120,
  anchor = "center"
)

ggplot() +
  geom_path(
    data = original_square,
    aes(x, y),
    color = "red"
  ) +
  geom_polygon(
    data = rotated_square,
    aes(x, y),
    fill = "green"
  ) +
  coord_equal()

aRtpack functions are designed to be used in any part of your workflow. Experiment for some cool results:

library(ggplot2)
library(purrr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(tibble)
library(artpack)

# Create a base square #
square <- square_data(x = 0, y = 0, size = 1, group_var = TRUE)

# Create square specs to be iterated on #
n_square <- 50
scaler <- seq(1, 5, length = n_square)
fills <- art_pals("imagination", n = n_square)
angles <- seq(0, 360, length = n_square)
group_n <- group_numbers(1:n_square)

# Add a random transformation for a little razzle dazzle ✨
theta <- seq(0, 2 * pi, length = 250)

list_opts <- list(
  scaler,
  fills,
  angles,
  group_n
)

df <- pmap(
  list_opts, ~ rotator(
    square |>
      mutate(
        x = (x + ..1),
        y = (y + ..1),
        fill = ..2,
        group = paste0(group, ..4)
      ),
    x = x, y = y, angle = ..3
  )
) |>
  list_rbind() |>
  mutate(
    x = x * cos(theta) + x,
    y = y * sin(theta) + y * 1.2
  )

df |>
  ggplot(aes(x = x, y = y, group = rev(group))) +
  theme_void() +
  theme(plot.background = element_rect(fill = "#000000")) +
  geom_polygon(
    fill = df$fill,
    color = "#000000",
    alpha = .5,
    linewidth = 1
  ) +
  coord_equal(expand = FALSE)