The LEGO® System in R ================ # brickr [![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing) [![Travis build status](https://travis-ci.org/ryantimpe/brickr.svg?branch=master)](https://travis-ci.org/ryantimpe/brickr) ## Overview **brickr** is a package for bringing the LEGO® experience into the R and [tidyverse](https://www.tidyverse.org/) ecosystem. The package is divided into 3 separate systems: - [**Mosaics**](#mosaics): Convert image files into mosaics that could be built using LEGO® bricks. - [**3D Models**](#3d-models): Build 3D LEGO® models from simple data formats & [rayshader](https://www.rayshader.com/). - [**Charts**](#charts): A [ggplot2](https://ggplot2.tidyverse.org/) 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. Check out [brickr.org](http://brickr.org) for more detail\! ### What’s the point? The goal of **brickr** is to provide a series of tools to integrate the LEGO® system with R by: - Enhancing a real world building experience with mosaics, generated instructions, and piece counts. - Generating interest in R and coding for new audiences with easy-to-create 3D models. - or just embracing pure novelty. *brickr is developed using publicly available information about LEGO® products and is not officially affiliated with The LEGO Group* ## Installation ``` r # 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. ``` r demo_img = tempfile() download.file("http://ryantimpe.com/files/mf_unicorn.PNG", demo_img, mode="wb") mosaic1 <- png::readPNG(demo_img) %>% image_to_mosaic(img_size = 36) #Length of each side of mosaic in "bricks" #Plot 2D mosaic mosaic1 %>% build_mosaic() ``` ![](README_files/figure-gfm/m1_set-1.png) In general, any **brickr** function that begins with `build_` generates a graphical output from a **brickr** list object, generated 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](https://twitter.com/tylermorganwall)’s [rayshader](https://www.rayshader.com/) 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](https://github.com/ryantimpe/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 programmatic development of 3D models. - `bricks_from_mosaic()` converts a 2D [mosaic](#mosaics) object from an image into 3D LEGO models, respectively. `bricks_from_rayshader()` creates a LEGO model from the same input as `rayshader::plot_3d()`. 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. ``` r 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( clear = TRUE) ``` ![](README_files/figure-gfm/bricks_1-1.png) ### 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. ``` r 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 = "uhd") rayshader::render_snapshot(clear = TRUE) ``` ![](README_files/figure-gfm/bricks_5-1.png) ### 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. ``` r 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(brick_res = "uhd", phi = 30, theta = 30) rayshader::render_snapshot(clear = TRUE) ``` ![](README_files/figure-gfm/bricks_6-1.png) ### Examples More examples using `bricks_from_table()` and `bricks_from_coords()` can be found at the links below. - [**Get started**](https://gist.github.com/ryantimpe/a784beaa4f798f57010369329d46ce71) with the framework for building a brick from scratch. - [**Build an owl**](https://gist.github.com/ryantimpe/ceab2ed6b8a4737077280fc9b0d1c886) with `bricks_from_table()` by manually placing each brick. - Generate a punny [**random forest model**](https://gist.github.com/ryantimpe/a7363a5e99dceabada150a43925beec7) using `bricks_from_coords()` and {purrr}. - [**brickr toybox**](https://github.com/ryantimpe/brickr_toybox) repo for tools and resources to get started. ## Charts brickr includes functions to render [ggplot2](https://ggplot2.tidyverse.org/) bar charts as bricks with LEGO color 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. ``` r 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() ``` ![](README_files/figure-gfm/geom_brick-1.png) Both `scale_fill_brick()` and `theme_brick()` take an input ‘brick\_theme’, which ensures all colors match official LEGO brick colors. See `build_themes()` for a sample of all available brick theme. ``` r 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") ``` ![](README_files/figure-gfm/geom_brick2-1.png) ## 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. ``` r mosaic1 %>% build_instructions(9) ``` ![](README_files/figure-gfm/m1_instructions-1.png) ### 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](https://shop.lego.com/en-US/Pick-a-Brick) section using the advanced search option. Alternatively, use `table_pieces()` to produce a data frame table of all required bricks. ``` r mosaic1 %>% build_pieces() ``` ![](README_files/figure-gfm/m1_pieces-1.png)