is there a way that I could do Percent stacked plot with ggplot2
geom_rect()
layer? I have coordinates, so I create a shape, I also have my separation variable t
, now I would like to fill the shape based on the occurrence of t
. In other words, I would like to do Percent stacked barchart but instead of a barchart a custom shape (in my case, simple rectangles). I've been experimenting a lot with position="fill"
, stat="identity"
and their varieties but without any success. I wonder if it possible and if so, how could I achieve it?
df <- structure(list(x1 = c(4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3,
3, 3), x2 = c(6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4), y1 = c(3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1), y2 = c(5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2), t = structure(c(1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L), .Label = c("a",
"b"), class = "factor")), row.names = c("1", "2", "3", "4", "5",
"6", "7", "8", "9", "10", "11", "12", "13", "14", "15"), class = "data.frame")
library(ggplot2)
ggplot() +
geom_rect(data=d, mapping=aes(xmin=x1, xmax=x2, ymin=y1, ymax=y2, fill = t))
Thank you for your time!
Here is the working code for the desired plot, it took some coding using dplyr
, but it worked.
library(ggplot2)
library(tidyverse)
df1<-df %>%
group_by(x1,y1,x2,y2,t) %>%
count() %>%
ungroup() %>%
group_by(x1,y1) %>%
mutate(perc = n / sum(n),
percLabel = paste(100 * perc,"%",sep = " "),
transf = abs(x2-x1) * perc,
newx1 = ifelse(t == "a", x1,x2-transf),
newx2 = ifelse(t == "a", x1+transf,x2))
ggplot(df1,aes(xmin = newx1,
xmax = newx2,
ymin = y1,
ymax = y2,
fill = t)) +
geom_rect(col = "black") +
geom_text(aes(x = newx1 + ((newx2 - newx1)/2),
y = y1 + ((y2 - y1)/2),
label = percLabel)) +
labs(x="X",y="Y")