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@djnavarro

djnavarro/wear-it-purple.R

Last active August 31, 2018 02:07
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wear it purple day animation
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wear-it-purple.R
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)
)
}
# for visual clarity only
. <- 0
# character data based on the BPdots font
# https://www.1001fonts.com/bpdots-font.html
char_list <- list(
" " = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"A" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,1,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.)
,
"B" = read_letter(
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"C" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,1,
.,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"D" = read_letter(
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"E" = read_letter(
1,1,1,1,1,
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,.,
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"F" = read_letter(
1,1,1,1,1,
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,.,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.),
"G" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,1,1,
1,.,.,.,1,
.,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"H" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"I" = read_letter(
1,1,1,1,1,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
1,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"J" = read_letter(
1,1,1,1,.,
.,.,.,1,.,
.,.,.,1,.,
.,.,.,1,.,
.,.,.,1,.,
1,.,.,1,.,
.,1,1,.,.,
.,.,.,.,.,
.,.,.,.,.),
"K" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
1,.,.,1,.,
1,1,1,.,.,
1,.,.,1,.,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"L" = read_letter(
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"M" = read_letter(
1,.,.,.,1,
1,1,.,1,1,
1,1,.,1,1,
1,.,1,.,1,
1,.,1,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"N" = read_letter(
1,.,.,.,1,
1,1,.,.,1,
1,.,1,.,1,
1,.,1,.,1,
1,.,.,1,1,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"O" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"P" = read_letter(
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
1,.,.,.,.,
1,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.),
"Q" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,1,.,1,
.,1,1,1,.,
.,.,1,.,.,
.,.,.,1,.),
"R" = read_letter(
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
1,.,.,1,.,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"S" = read_letter(
.,1,1,1,1,
1,.,.,.,.,
1,.,.,.,.,
.,1,1,1,.,
.,.,.,.,1,
.,.,.,.,1,
1,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"T" = read_letter(
1,1,1,1,1,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,.,.,.,
.,.,.,.,.),
"U" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"V" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,1,.,1,.,
.,1,.,1,.,
.,.,1,.,.,
.,.,.,.,.,
.,.,.,.,.),
"W" = read_letter(
1,.,.,.,1,
1,.,1,.,1,
1,.,1,.,1,
1,.,1,.,1,
1,.,1,.,1,
.,1,.,1,.,
.,1,.,1,.,
.,.,.,.,.,
.,.,.,.,.),
"X" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
.,1,.,1,.,
.,.,1,.,.,
.,1,.,1,.,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"Y" = read_letter(
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,1,.,1,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,.,.,.,
.,.,.,.,.),
"Z" = read_letter(
1,1,1,1,1,
.,.,.,.,1,
.,.,.,1,.,
.,.,1,.,.,
.,1,.,.,.,
1,.,.,.,.,
1,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"a" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,.,
.,.,.,.,1,
.,1,1,1,1,
1,.,.,.,1,
.,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"b" = read_letter(
1,.,.,.,.,
1,.,.,.,.,
1,.,1,1,.,
1,1,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,.,
.,.,.,.,.,
.,.,.,.,.),
"c" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,.,1,
1,.,.,.,.,
1,.,.,.,1,
.,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"d" = read_letter(
.,.,.,.,1,
.,.,.,.,1,
.,1,1,1,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,1,1,
.,1,1,.,1,
.,.,.,.,.,
.,.,.,.,.),
"e" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,.,
1,.,.,.,1,
1,1,1,1,1,
1,.,.,.,.,
.,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"f" = read_letter(
.,.,.,1,1,
.,.,1,.,.,
.,1,1,1,1,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
1,1,1,1,1,
.,.,.,.,.,
.,.,.,.,.),
"g" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,1,1,
.,1,1,.,1,
.,.,.,.,1,
.,1,1,1,.),
"h" = read_letter(
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,.,.,.,.,
.,.,.,.,.),
"i" = read_letter(
.,.,1,.,.,
.,.,.,.,.,
1,1,1,.,., ##
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"j" = read_letter(
.,.,.,.,1,
.,.,.,.,.,
.,1,1,1,1, ##
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,1, ##
1,.,.,.,1,
.,1,1,1,.),
"k" = read_letter(
1,.,.,.,.,
1,.,.,.,.,
1,.,.,1,., ##
1,.,.,1,.,
1,1,1,.,.,
1,.,.,1,.,
1,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"l" = read_letter(
1,1,1,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"m" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,1,.,1, ##
1,1,1,1,1,
1,.,1,.,1,
1,.,1,.,1,
1,.,1,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"n" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,1,1,., ##
1,1,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"o" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"p" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,1,1,., ##
1,1,.,.,1,
1,.,.,.,1,
1,.,.,.,1,
1,1,1,1,., ##
1,.,.,.,.,
1,.,.,.,.),
"q" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,1, ##
1,.,.,.,1,
1,.,.,.,1,
1,.,.,1,1,
.,1,1,.,1, ##
.,.,.,.,1,
.,.,.,.,1),
"r" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,1,.,1,1, ##
.,1,1,.,.,
.,1,.,.,.,
.,1,.,.,.,
1,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"s" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,1, ##
1,.,.,.,.,
.,1,1,1,.,
.,.,.,.,1,
1,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"t" = read_letter(
.,.,.,.,.,
.,.,1,.,.,
1,1,1,1,1, ##
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,.,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"u" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,.,.,1, ##
1,.,.,.,1,
1,.,.,.,1,
1,.,.,1,1,
.,1,1,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"v" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,.,.,1, ##
1,.,.,.,1,
.,1,.,1,.,
.,1,.,1,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"w" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,.,.,1, ##
1,.,1,.,1,
1,.,1,.,1,
.,1,.,1,.,
.,1,.,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"x" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,.,.,1, ##
1,.,.,.,1,
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"y" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,.,.,.,1, ##
1,.,.,.,1,
.,1,.,1,.,
.,1,.,1,.,
.,.,1,.,., ##
.,.,1,.,.,
1,1,.,.,.),
"z" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,1,1,1,1, ##
.,.,.,1,.,
.,.,1,.,.,
.,1,.,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"1" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,1,1,.,., ##
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"2" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,.,1,
.,.,1,1,.,
.,1,.,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"3" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,.,1,
.,.,.,.,1,
.,1,1,1,.,
.,.,.,.,1, ##
1,.,.,.,1,
.,1,1,1,.),
"4" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,1,., ##
.,.,1,1,.,
.,1,.,1,.,
1,.,.,1,.,
1,1,1,1,1, ##
.,.,.,1,.,
.,.,.,1,.),
"5" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,1,1,1,1, ##
1,.,.,.,.,
1,.,.,.,.,
1,1,1,1,.,
.,.,.,.,1, ##
.,.,.,.,1,
1,1,1,1,.),
"6" = read_letter(
.,.,1,1,.,
.,1,.,.,.,
1,.,.,.,., ##
1,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"7" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
1,1,1,1,1, ##
.,.,.,.,1,
.,.,.,1,.,
.,.,1,.,.,
.,1,.,.,., ##
.,1,.,.,.,
.,1,.,.,.),
"8" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1, ##
.,1,1,1,.,
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"9" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,.,1,
1,.,.,.,1,
.,1,1,1,1,
.,.,.,.,1, ##
.,.,.,1,.,
.,1,1,.,.),
"0" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,1,1,., ##
1,.,.,1,1,
1,.,1,.,1,
1,1,.,.,1,
.,1,1,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"\\" = read_letter(
.,1,.,.,.,
.,1,.,.,.,
.,.,1,.,., ##
.,.,.,1,.,
.,.,.,1,.,
.,.,.,.,1,
.,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"]" = read_letter(
.,.,.,1,1,
.,.,.,.,1,
.,.,.,.,1, ##
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,1,
.,.,.,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"^" = read_letter(
.,.,1,.,.,
.,1,.,1,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"_" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
1,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"`" = read_letter(
1,.,.,.,.,
.,1,.,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"!" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,1, ##
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,., ##
.,.,.,.,1,
.,.,.,.,1),
'"' = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,.,1,., ##
.,1,.,1,.,
.,1,.,1,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"#" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,1,.,1,., ##
.,1,.,1,.,
1,1,1,1,1,
.,1,.,1,.,
1,1,1,1,1, ##
.,1,.,1,.,
.,1,.,1,.),
"$" = read_letter(
.,.,.,.,.,
.,.,1,.,.,
.,1,1,1,1, ##
1,.,1,.,.,
.,1,1,1,.,
.,.,1,.,1,
1,1,1,1,., ##
.,.,1,.,.,
.,.,.,.,.),
"%" = read_letter(
.,1,1,.,1,
.,1,1,.,1,
.,.,.,1,., ##
.,.,1,.,.,
.,.,1,.,.,
.,1,.,1,1,
.,1,.,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"&" = read_letter(
.,1,1,.,.,
1,.,.,.,.,
1,.,.,.,., ##
.,1,1,1,1,
1,.,.,1,.,
1,.,.,1,.,
.,1,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"'" = read_letter(
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
")" = read_letter(
.,.,.,1,.,
.,.,.,.,1,
.,.,.,.,1, ##
.,.,.,.,1,
.,.,.,.,1,
.,.,.,.,1,
.,.,.,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"(" = read_letter(
.,.,.,.,1,
.,.,.,1,.,
.,.,.,1,., ##
.,.,.,1,.,
.,.,.,1,.,
.,.,.,1,.,
.,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"*" = read_letter(
.,1,.,1,.,
.,.,1,.,.,
.,1,.,1,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"+" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,1,.,., ##
.,.,1,.,.,
1,1,1,1,1,
.,.,1,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"," = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,.,
.,.,1,.,., ##
.,.,1,.,.,
.,1,.,.,.),
"." = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.,
.,.,.,1,.,
.,.,.,1,., ##
.,.,.,.,.,
.,.,.,.,.),
"/" = read_letter(
.,.,.,.,1,
.,.,.,.,1,
.,.,.,1,., ##
.,.,1,.,.,
.,.,1,.,.,
.,1,.,.,.,
.,1,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
":" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,1,.,., ##
.,.,1,.,.,
.,.,.,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
";" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,1, ##
.,.,.,.,1,
.,.,.,.,.,
.,.,.,.,1,
.,.,.,.,1, ##
.,.,.,1,.,
.,.,.,.,.),
"<" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,1, ##
.,.,.,1,.,
.,.,1,.,.,
.,.,.,1,.,
.,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
">" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,1,.,., ##
.,.,.,1,.,
.,.,.,.,1,
.,.,.,1,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"=" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
1,1,1,1,1,
.,.,.,.,.,
1,1,1,1,1,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"?" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
.,.,.,.,1, ##
.,.,1,1,.,
.,.,.,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"@" = read_letter(
.,1,1,1,.,
1,.,.,.,1,
1,.,1,1,1, ##
1,1,.,1,1,
1,1,1,1,1,
1,.,.,.,.,
.,1,1,1,1, ##
.,.,.,.,.,
.,.,.,.,.),
"{" = read_letter(
.,.,.,.,1,
.,.,.,1,.,
.,.,.,1,., ##
.,.,1,.,.,
.,.,.,1,.,
.,.,.,1,.,
.,.,.,.,1, ##
.,.,.,.,.,
.,.,.,.,.),
"}" = read_letter(
.,.,1,.,.,
.,.,.,1,.,
.,.,.,1,., ##
.,.,.,.,1,
.,.,.,1,.,
.,.,.,1,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"|" = read_letter(
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,.,
.,.,1,.,., ##
.,.,.,.,.,
.,.,.,.,.),
"-" = read_letter(
.,.,.,.,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,1,1,1,.,
.,.,.,.,.,
.,.,.,.,., ##
.,.,.,.,.,
.,.,.,.,.)
)
# coerce to a tibble
char_table <- char_list %>%
imap_dfr(function(x,n) {
x %>% as.tibble() %>%
mutate(ypos = 9:1) %>%
gather(key = "xpos", value = "value", V1, V2, V3, V4, V5, V6) %>%
mutate(xpos = xpos %>% str_remove("V") %>% as.integer()) %>%
mutate(char = n)
})
# message to plot
msg <- list(
frame1 = c("Be Kind", " Be You", " Be Awesome"),
frame2 = c("Wear It Purple", " 31/08/2018")
)
# convert the message to a tidy form
msg_frame <- msg %>%
imap_dfr(
function(m, v) { # apply to each frame:
m %>%
str_split("") %>% # split into a list (one element per "line")
imap_dfr(
function(x, v) { # apply to each line
x %>%
as.tibble() %>%
rename(char = value) %>%
mutate(
xoff = 6 * (1:n()), # scaled x-offset for each character
yoff = v # unscaled y-offset for each character
)
}) %>%
mutate(
yoff = 10 * (max(yoff) - yoff), # scale the y-offset
frame = v %>% str_remove("frame") %>% as.integer() # append frame info
)
})
# left join with the character table to produce
# co-ordinate map for the raw points in each frame
msg_map <- left_join(msg_frame, char_table) %>%
filter(value == 1)
# read the message map
msg_map <- msg_map %>%
mutate(xval = xpos + xoff, yval = ypos + yoff) %>%
arrange(frame, xval, yval) %>%
select(char, frame, xval, yval)
# dot count
dot_count <- msg_map %>% group_by(frame) %>%
summarise(count = n())
print(dot_count)
# give each dot a unique identity
msg_map$id <- dot_count$count %>%
map(function(x){1:x}) %>% reduce(c)
# keep only the dot label, position, and frame
msg_map <- msg_map %>%
select(id, frame, xval, yval) %>%
arrange(id, frame)
# parameters
nsteps <- 6
scale <- 8
# function to convert start and end points to
# a meandering path using brownian bridge
brownian_path <- function(id, xval, yval, nsteps = 5, scale = 20) {
# expand from two end points to a straight line path
path <- tibble(
id = id[1],
frame = 1:nsteps,
xval = seq(xval[1], xval[2], length.out = nsteps),
yval = seq(yval[1], yval[2], length.out = nsteps)
)
# create a meandering path using rbridge
path$xval <- path$xval + c(0, rbridge(1, nsteps-1)) * scale
path$yval <- path$yval + c(0, rbridge(1, nsteps-1)) * scale
# return as a single element list
return(list(p=path))
}
# construct a tibble tracking all 395 points across
# every jump in the brownian bridge from F1 to F2
msg_walk_forward <- msg_map %>%
group_by(id) %>%
summarise(
path = brownian_path(id, xval, yval, nsteps, scale)
) %>%
pull(path) %>%
reduce(bind_rows)
# do the same thing to walk back
msg_walk_backward <- msg_map %>%
mutate(frame = 3-frame) %>%
arrange(id, frame) %>%
group_by(id) %>%
summarise(
path = brownian_path(id, xval, yval, nsteps, scale)
) %>%
pull(path) %>%
reduce(bind_rows) %>%
mutate(
frame = frame + nsteps
)
# combine
msg_walk <- bind_rows(
msg_walk_forward, msg_walk_backward
) %>% arrange(frame,id,xval,yval)
# add lgbt palette
lgbt <- c(
`1` = "#E70000", # Electric Red
`2` = "#FF8C00", # Dark Orange
`3` = "#FFEF00", # Canary Yellow
`4` = "#00811F", # La Salle Green
`5` = "#0044FF", # Blue (RYB)
`6` = "#760089" # Patriarch
)
# discrete values for the colours
msg_walk <- msg_walk %>%
mutate(
base_colour = xval %>% cut(breaks = 6) %>% as.numeric(),
unbounded_colour = case_when(
frame <= 6 ~ base_colour + (frame - 1),
frame > 6 ~ base_colour + (12-frame)
),
colour = case_when(
unbounded_colour > 6 ~ 6,
TRUE ~ unbounded_colour
)
)
background <- "grey90"
# create the base plot
base_pic <- msg_walk %>%
ggplot(aes(
x = xval,
y = yval,
colour = factor(colour),
group = id)) +
geom_point(show.legend = FALSE,
size = 4, alpha = .6) +
coord_equal() +
theme_void() +
theme(
panel.background = element_rect(
fill = background, colour = background,
size = 0.5, linetype = "solid"
)
) +
scale_color_manual(values = lgbt)
# construct animation
pic <- base_pic +
transition_states(
states = frame,
transition_length = 2,
state_length = c(2.5,0,0,0,0,2.5,2.5,0,0,0,0,2.5),
wrap = TRUE
) +
ease_aes('sine-in-out') +
shadow_wake(.1)
# create animation
pic %>% animate(
nframes = 300, fps = 15, width = 800,
bg = background, detail = 3
)
anim_save("~/Desktop/wear-it-purple.gif")
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wear-it-purple

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