# Under development
# This is designed to produce fading trails similar to what we created in our
# baby data visualization. This currently doesn't work and needs updating.
# Cross reference the main.R script used to produce the baby visualization
# When working on this
add_fading_trail <- function(data, var_to_fade, decay = 0) {
arguments <- as.list(match.call())
print(arguments)
var_to_fade = eval(arguments$var_to_fade, data)
print(var_to_fade)
max_value = max(var_to_fade)
anim <- lapply(1:10, function(i) {data$var_to_fade <- data$var_to_fade + i; data$fade <- 1 / (i + 2); data})
data$fade <- 1
data_with_fade <- rbind(data, do.call(rbind, anim))
data_with_fade <- filter(dat_with_fade, var_to_fade <= max_value)
}
p2 <- ggplot(top_10_with_fade, aes(x = proportion, y = count, color = sex, frame = year, alpha = fade)) +
geom_point(size = 4) +
ggtitle('Year:') +
xlab('\nProportion (by sex) of Babies Born') +
ylab('Number of Babies Born') +
scale_color_manual(name = '', values = c('#ff7f00', '#377eb8'), labels = c('Female', 'Male')) +
scale_x_continuous(labels = percent) +
scale_y_continuous(labels = comma) +
scale_alpha(guide = 'none') + # Remove alpha legend from plot output
theme_bw() +
theme(panel.border = element_blank(),
panel.grid = element_blank(),
axis.ticks = element_blank(),
legend.key = element_blank(),
legend.position = 'bottom')
gg_animate(p2, interval = 0.2, ani.width = 600, ani.height = 400)
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