Animate normal distributions with different means and standard deviations.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#=====================================================================# | |
# This is code to create: 34.0-animate-norm-vars.R | |
# Authored by and feedback to: mjfrigaard@gmail.com | |
# MIT License | |
# Version: 1.0 | |
# Share: http://bit.ly/gganimate-gif | |
#=====================================================================# | |
library(ggplot2) | |
library(gganimate) | |
library(gifski) | |
# create data | |
NormalData <- tibble(random_var_x = c(stats::rnorm(n = 1000, | |
mean = 10, | |
sd = 1), | |
stats::rnorm(n = 1000, | |
mean = 10, | |
sd = 5), | |
stats::rnorm(n = 1000, | |
mean = 10, | |
sd = 20), | |
stats::rnorm(n = 1000, | |
mean = 10, | |
sd = 50)), | |
group_factor = gl(n = 4, k = 1000, label = c("Mean = 10, SD = 1", | |
"Mean = 10, SD = 5", | |
"Mean = 10, SD = 20", | |
"Mean = 10, SD = 50"))) | |
# NormalData | |
# create static plot | |
norm_plot <- ggplot2::ggplot(NormalData, aes(x = random_var_x, | |
fill = group_factor, | |
color = group_factor, | |
group = 1L)) + | |
ggplot2::geom_histogram(bins = 150) + | |
gganimate::transition_states(states = group_factor, | |
transition_length = 2, | |
state_length = 1) + | |
ease_aes('cubic-in-out') + | |
gganimate::shadow_mark() + | |
ggplot2::labs(title = "Means & Standard Deviations from\n Normally Generated Variables", | |
subtitle = "Number {frame} of {nframes}", | |
x = "Random Variable X", | |
y = "Count", | |
color = "Group factor", | |
fill = "Group factor") | |
# norm_plot | |
# animate | |
norm_animate <- gganimate::animate(norm_plot, nframes = 100, | |
res = 150, | |
height = 7, | |
width = 9, | |
units = "in") | |
norm_animate | |
# Save the output | |
anim_save(filename = 'normal-samples.gif', | |
animation = norm_plot, | |
path = "figs/") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment