The LEGO® System in R

brickr

Overview

brickr is a package for bringing the LEGO® experience into the R and tidyverse ecosystem.

The package is divided into 3 separate systems:

• Mosaics: Convert image files into mosaics that could be built using LEGO® bricks.
• 3D Models: Build 3D LEGO® models from simple data formats & rayshader.
• Charts: A ggplot2 extension to generate plots that resemble LEGO® bricks.

brickr also includes tools help users create the Mosaics and 3D model output using real LEGO® elements.

brickr is developed using publicly available information about LEGO® products and is not officially affliated with The LEGO Group

Installation

# To install the latest version from Github:
# install.packages("devtools")
devtools::install_github("ryantimpe/brickr")

#For 3D features, rayshader is also required.
install.packages("rayshader")

Mosaics

The mosaic functions renders an imported JPG or PNG file using LEGO colors and bricks.

mosaic1 <- png::readPNG("Images/mf_unicorn.PNG") %>% 
  image_to_mosaic(img_size = 36) #Length of each side of mosaic in "bricks"

#Plot 2D mosaic
mosaic1 %>% build_mosaic()

In general, any {brickr} function that begins with build_ generates a graphical output from a {brickr} list object from other functions.

Customization

image_to_mosaic() can take a few important arguments. See ?image_to_mosaic() for full detail.

• img_size Providing a single value, such as 48, crops the image to a square. Inputting a 2-element array, c(56, 48), will output a rectangular image of c(width, height).

• color_table & color_palette Options to limit the color of bricks used in mosaics, as not all colors produced by LEGO are readily available. Set color_palette to ‘universal’ or c('universal', 'generic') to limit colors to the most common ones. Use a subset of the data frame lego_colors as the color_table to specify a custom palette.

• method Technique used to map image colors into the allowed brick colors. Defaults to ‘cie94`, but other options include ’cie2000’ and ‘euclidean’. Also includes the option ‘brickr_classic’, used in previous version of the package.

3D Models

The bricks_from_* series of functions creates 3D models of LEGO bricks from a variety of input formats. These models are rendered using Tyler Morgan-Wall’s rayshader package.

• bricks_from_table() & bricks_from_excel() convert a matrix-shaped table of integers into LEGO bricks. For simple models, this table can be made manually using data.frame() or tibble::tribble(). For more advanced models, it’s recommended you use MS Excel or a .csv file. The left-most column in the table is associated with the Level or z-axis of the model. bricks_from_excel() is a wrapper function to more easily build models designed using a Microsoft Excel template. Please see this repo: brickr toybox.

• bricks_from_coords() takes a data frame with x, y, & z integer values, and Color columns, where each combination of x, y, & z is a point in 3-dimensional space. Color must be an official LEGO color name from build_colors(). This format is much more flexible than bricks_from_table() and allows the programatic development of 3D models.

-bricks_from_mosaic() & bricks_from_image() convert a 2D mosaic object or an image into 3D LEGO models, respectively.

Pass the output from any bricks_from_*() function to build_bricks() to see the 3D model. The brick_res option allows for higher resolution bricks in ‘hd’ or ‘uhd’, which will take longer to render.

library(brickr)

#This is a brick
brick <- data.frame(
  Level="A",
  X1 = rep(3,4), #The number 3 is the brickrID for 'bright red'
  X2 = rep(3,4)
)

brick %>% 
  bricks_from_table() %>% 
  build_bricks(brick_res = "uhd")

rayshader::render_snapshot()

Stacking bricks

The Level column in the input table determines the elevation of the bricks. bricks_from_table() will convert alphanumeric levels into a z coordinate.

For larger models, use tibble::tribble() to more easily visualize the model. For very large models, use a csv or Excel.

my_first_model <- tibble::tribble(
  ~Level, ~X1, ~X2, ~X3, ~x4, ~x5, ~X6, ~x7, ~x8,
  "A", 1, 1, 1, 0, 1, 1, 1, 1,
  "A", 1, 0, 0, 0, 0, 0, 0, 1,
  "A", 1, 0, 0, 0, 0, 0, 0, 1,
  "A", 1, 1, 1, 1, 1, 1, 1, 1,
  "B", 1, 0, 1, 0, 1, 1, 0, 1,
  "B", 1, 0, 0, 0, 0, 0, 0, 1,
  "B", 1, 0, 0, 0, 0, 0, 0, 1,
  "B", 1, 0, 1, 0, 0, 1, 0, 1,
  "C", 1, 1, 1, 1, 1, 1, 1, 1,
  "C", 1, 0, 0, 0, 0, 0, 0, 1,
  "C", 1, 0, 0, 0, 0, 0, 0, 1,
  "C", 1, 1, 1, 1, 1, 1, 1, 1,
  "D", 2, 2, 2, 2, 2, 2, 2, 2,
  "D", 1, 0, 0, 0, 0, 0, 0, 1,
  "D", 1, 0, 0, 0, 0, 0, 0, 1,
  "D", 2, 2, 2, 2, 2, 2, 2, 2,
  "E", 0, 0, 0, 0, 0, 0, 0, 0,
  "E", 2, 2, 2, 2, 2, 2, 2, 2,
  "E", 2, 2, 2, 2, 2, 2, 2, 2,
  "E", 0, 0, 0, 0, 0, 0, 0, 0
)

brick_colors <- tibble::tribble(
  ~`.value`, ~Color,
  1, "Bright blue",
  2, "Dark orange"
)
  
my_first_model %>% 
  bricks_from_table(brick_colors) %>% 
  build_bricks(theta = 210, brick_res = "hd")

rayshader::render_snapshot()

Programmatically build models

Use bricks_from_coords() to programmatically build 3D LEGO models instead of manually drawing them in a spreadsheet or table. Here you must provide whole number coordinates for x, y, and z, along with an official LEGO color name for each point.

radius <- 4
sphere_coords <- expand.grid(
  x = 1:round((radius*2.5)),
  y = 1:round((radius*2.5)),
  z = 1:round((radius/(6/5)*2.5)) #A brick is 6/5 taller than it is wide/deep
) %>%
  mutate(
    #Distance of each coordinate from center
    dist = (((x-mean(x))^2 + (y-mean(y))^2 + (z-mean(z))^2)^(1/2)),
    Color = case_when(
      #Yellow stripes on the surface with a 2to4 thickness
      between(dist, (radius-1), radius) & (x+y+z) %% 6 %in% 0:1 ~ "Bright yellow",
      #Otherwise, sphere is blue
      dist <= radius ~ "Bright blue"
  ))

sphere_coords %>% 
  bricks_from_coords() %>% 
  build_bricks(phi = 30, theta = 30)

rayshader::render_snapshot()

Examples

More examples using bricks_from_table() and bricks_from_coords() can be found at the links below.

• Get started with the framework for building a brick from scratch.
• Build an owl with bricks_from_table() by manually placing each brick.
• Generate a punny random forest model using bricks_from_coords() and {purrr}.
• brickr toybox repo for tools and resources to get started.

Charts

brickr includes some elements for a ggplot2 extensions to convert ggplot bar charts into bricks and LEGO themes. The main function is geom_brick_col(), which is the brickr equivalent of geom_col(). Additional functions are highly recommended to ensure that proper the chart is rendered in the proper functions and proportions.

df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))

#For official LEGO colors, use with scale_fill_brick and theme_brick.
ggplot(df, aes(trt, outcome)) +
  geom_brick_col(aes(fill = trt)) +
  scale_fill_brick() +
  coord_brick() +
  theme_brick()

Both scale_fill_brick() and theme_brick() take an input ‘brick_theme’, which ensures all colors match offical LEGO brick colors. See build_themes() for a sample of all available brick theme.

df <- data.frame(trt = letters[1:6], outcome = rnorm(6, mean = 5, sd = 2))

use_theme <- "hp"

ggplot(df, aes(trt, outcome)) +
  geom_brick_col(aes(fill = trt), two_knob = F) +
  scale_fill_brick(use_theme) +
  coord_brick_flip() +
  theme_brick(use_theme) +
  theme(legend.position = "none")

IRL

Additional functions assist in the translation of brickr objects into actual LEGO bricks.

Instructions

Use build_instructions() to break the mosaics and 3D models into easier-to-read steps for building the set. This defaults to 6 steps, but passing any integer value will generate that many steps.

mosaic1 %>% build_instructions(9)

Piece list and count

Use build_pieces() to generate a graphic and count of all required plates or bricks (for stacked mosaics). These are sorted by color and size for easy purchase on LEGO.com’s Pick-a-Brick section using the advanced search option. Alternatively, use table_pieces() to produce a data frame table of all required bricks.

mosaic1 %>% build_pieces()