djnavarro

library(tidyverse)
library(gganimate)

# initial frame
last_tbl<- tibble(
  letter = c("T","H","A","N","K","Y","O","U"),
  x_pos = c(1,2,3,4,5,2,3,4),
  y_pos = c(3,3,3,3,3,2,2,2),
  id = 1:8,
  fr = 0.5

djnavarro

library(tidyverse)
library(e1071)
library(gganimate)

# parameters for the simulation
ntimes <- 100
nseries <- 20

# construct tibble storing simulation
tbl <- tibble(

djnavarro

library(tidyverse)
library(e1071)
library(gganimate)

# take a vector of inputs and return a binary 
# matrix corresponding to the character
read_letter <- function(...) {
  cbind(
    matrix(data = c(...), nrow = 9, ncol = 5, byrow = TRUE),
    matrix(data = rep(0,9), nrow = 9, ncol = 1)

djnavarro

library(tidyverse)
library(e1071)
library(gganimate)
library(viridis)

ascii_bridge <- "
.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,1,1,1,1,1,1,1,1,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.
.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,1,1,1,1,.,1,.,.,.,.,1,.,1,1,1,1,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.
.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,1,1,1,1,.,.,.,.,1,.,.,.,.,1,.,.,.,.,1,1,1,1,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.
.,.,.,.,.,.,.,.,.,.,.,.,.,.,1,1,.,.,.,1,.,.,.,.,1,.,.,.,.,1,.,.,.,.,1,.,.,.,1,1,.,.,.,.,.,.,.,.,.,.,.,.,.,.

djnavarro

library(ambient)
library(imager)
library(tidyverse)
library(gganimate)

make_noise_frame <- function(n=500, fr=1, type = "worley") {
  
  if(type == "worley") {
    noise <- noise_worley(
      dim = c(n, n),

djnavarro

library(tidyverse)
library(imager)

# function to convert an image to an ascii character map
asciify <- function(file, charset, threshold){
  
  # load image
  im <- load.image(file) 
  im <- as.cimg(im[,,1:3])
  

djnavarro

# Script for tidying data pulled from Google App Engine. Typically the raw format
# has a "content" field, and each entry in it is a text string describing the 
# complete data set from one person in CSV format.

library(tidyverse)

my_data <- read_csv("results.csv") %>%                  
  pull("content") %>%                                   
  map_dfr(read_csv, col_types = cols(.default = "c")) %>%
  write_csv("tidy_results.csv")

djnavarro

# Adapted from Claus Wilke's code
# https://github.com/clauswilke/isoband

library(isoband)
library(magick)
library(sf)
library(tidyverse)

# my twitter profile
img_loc <- "https://pbs.twimg.com/profile_images/1088575199568584704/zGiMgFB7_400x400.jpg"

djnavarro

# devtools::install_github("yixuan/fontr")
library(fontr)
library(transformr)
library(showtext)
library(tidyverse)
library(gganimate)

# use showtext to loading Google fonts (http://www.google.com/fonts)
font_add_google("Allura")

djnavarro

library(isoband)
library(magick)
library(sf)
library(tidyverse)

# Adapted from Claus Wilke's code
# https://github.com/clauswilke/isoband
sf_from_image <- function(image, nbands) {
  image_gray <- image %>% image_quantize(colorspace = "gray")
  image_raster <- as.raster(image_gray)