ggcats

The geom you always wished for adding cats to ggplot2. This package is part of the memeverse. The source code of this package is based on geom_image from ggimage.

Follow me on Twitter
Follow me on Facebook
Visit my R programming site

What is the memeverse?

A collection of funny packages which can be interesting to create plots to show on a first lesson to new R students in order to motivate them learning the language. The other package of the (small) memeverse are ggdogs and ggbernie. Statistics and programming can be fun!

Installation

# install.packages("remotes")
remotes::install_github("R-CoderDotCom/ggcats@main")

Available cats

There are 15 cats available:

"nyancat" (default), "bongo", "colonel", "grumpy", "hipster", "lil_bub", "maru",
"mouth", "pop", "pop_close", "pusheen", "pusheen_pc", "toast", "venus" and "shironeko"

Some examples

grid <- expand.grid(1:5, 3:1)

df <- data.frame(x = grid[, 1],
                 y = grid[, 2],
                 image = c("nyancat", "bongo", "colonel", "grumpy", "hipster",
                           "lil_bub", "maru", "mouth", "pop", "pop_close", 
                           "pusheen", "pusheen_pc", "toast", "venus", "shironeko"))
                           
library(ggplot2)
ggplot(df) +
 geom_cat(aes(x, y, cat = image), size = 5) +
    xlim(c(0.25, 5.5)) + 
    ylim(c(0.25, 3.5))

ggplot(mtcars) +
  geom_cat(aes(mpg, wt), cat = "nyancat", size = 5)

ggplot(mtcars) +
  geom_cat(aes(mpg, wt, size = cyl), cat = "toast")

I took the most part of the following code from Jonathan Hersh.

library(Ecdat)
data(incomeInequality)

library(tidyverse)
library(ggcats)
library(gganimate)


 dat <-
   incomeInequality %>%
   select(Year, P99, median) %>%
   rename(income_median = median,
          income_99percent = P99) %>%
   pivot_longer(cols = starts_with("income"),
                names_to = "income",
                names_prefix = "income_")

dat$cat <- rep(NA, 132)

dat$cat[which(dat$income == "median")] <- "nyancat"
dat$cat[which(dat$income == "99percent")] <- rep(c("pop_close", "pop"), 33)

ggplot(dat, aes(x = Year, y = value, group = income, color = income)) +
   geom_line(size = 2) +
   ggtitle("ggcats, a core package of the memeverse") +
   geom_cat(aes(cat = cat), size = 5) +
   xlab("Cats") +
   ylab("Cats") +
   theme(legend.position = "none",
         plot.title = element_text(size = 20),
         axis.text = element_blank(),
         axis.ticks = element_blank()) +
   transition_reveal(Year)