Example code used in class discussion.
library(gapminder)
library(tidyverse)
library(gganimate)
d <- expand.grid(x = seq(-5, 5), y = seq(-5, 5))
d <- d[-85,]
d2 <- data.frame(
x = rnorm(20, 2, 0.06),
y = rnorm(20, 2, 0.06),
idx = seq(20)
)
p <- ggplot(d) +
theme_void() +
coord_equal() +
geom_point(
mapping = aes(x, y),
size = 0.5
) +
geom_point(
data = d2,
mapping = aes(
x = x,
y = y
),
size = 0.5
) +
transition_time(idx)
animate(
p,
duration = 1,
fps = 20,
height = 1,
width = 1,
units = "in",
res = 150
)
d <- expand.grid(x = seq(-5, 5), y = seq(-3, 5))
d2 <- expand.grid(x = seq(-5, 5), y = c(-4, -5, -4))
d2$idx <- rep(c(1, 2, 3), each = 11)
p <- ggplot(d) +
theme_void() +
coord_equal() +
geom_point(
mapping = aes(x, y),
size = 0.5
) +
geom_point(
data = d2,
mapping = aes(
x = x,
y = y
),
size = 0.5
) +
transition_time(idx)+
ease_aes("linear")
animate(
p,
duration = 1,
fps = 20,
height = 1,
width = 1,
units = "in",
res = 150
)
p <- ggplot(
data = gapminder,
mapping = aes(
x = gdpPercap,
y = lifeExp,
size = pop,
colour = country)
) +
geom_point(alpha = 0.7, show.legend = FALSE) +
scale_colour_manual(values = country_colors) +
scale_size(range = c(2, 12)) +
scale_x_log10() +
labs(
title = 'Year: {frame_time}',
x = 'GDP per capita',
y = 'life expectancy'
) +
transition_time(year) +
ease_aes('linear')
animate(
p,
duration = 10,
fps = 20,
height = 3,
width = 3,
units = "in",
res = 300)
The code is on the slide.
If you see mistakes or want to suggest changes, please create an issue on the source repository.