Get the proportions in ggplot2 (R) bar charts - r

Question

Can someone provide me some hints as to what I am doing wrong in my code? Or what I need to correct to get the correct percentages? I am trying to get the proportions by manipulating my ggplot2 code. I would prefer not mutating a column. However, if I can't get ggplot2 to give me the correct proportions, I will then be open to adding columns.
Here is the reproduceable data:
cat_type<-c("1", "1","2","3","1","3", "3","2","1","1","1","3","3","2","3","2","3","1","3","3","3","1","3","1","3","1","1","3","1")
country<-c("India","India","India","India","India","India","India","India","India","India","Indonesia","Russia","Indonesia","Russia","Russia","Indonesia","Indonesia","Indonesia","Indonesia","Russia","Indonesia","Russia","Indonesia","Indonesia","Russia", "Russia", "India","India","India")
bigcats<-data.frame(cat_type=cat_type,country=country)
My data gives me the following proportions (these are correct):
> table(bigcats$cat_type, bigcats$country) ## raw numbers
India Indonesia Russia
1 7 3 2
2 2 1 1
3 4 5 4
>
> 100*round(prop.table(table(bigcats$cat_type, bigcats$country),2),3) ## proportions by column total
India Indonesia Russia
1 53.8 33.3 28.6
2 15.4 11.1 14.3
3 30.8 55.6 57.1
However, my ggplot2 is giving me the incorrect proportions:
bigcats %>% ggplot(aes(x=country, y = prop.table(stat(count)), fill=cat_type, label = scales::percent(prop.table(stat(count)))))+
geom_bar(position = position_fill())+
geom_text(stat = "count", position = position_fill(vjust=0.5),colour = "white", size = 5)+
labs(y="Percent",title="Top Big Cat Populations",x="Country")+
scale_fill_discrete(name=NULL,labels=c("Siberian/Bengal", "Other wild cats", "Puma/Leopard/Jaguar"))+
scale_y_continuous(labels = scales::percent)

Answer 1

The issue is that using prop.table(stat(count)) will not compute the proportions by categories or your countries, i.e. you do:
library(dplyr)
bigcats %>%
count(cat_type, country) %>%
mutate(pct = scales::percent(prop.table(n)))
#> cat_type country n pct
#> 1 1 India 7 24.1%
#> 2 1 Indonesia 3 10.3%
#> 3 1 Russia 2 6.9%
#> 4 2 India 2 6.9%
#> 5 2 Indonesia 1 3.4%
#> 6 2 Russia 1 3.4%
#> 7 3 India 4 13.8%
#> 8 3 Indonesia 5 17.2%
#> 9 3 Russia 4 13.8%
Making use of a helper function to reduce code duplication you could compute your desired proportions like so:
library(ggplot2)
prop <- function(count, group) {
count / tapply(count, group, sum)[group]
}
ggplot(bigcats, aes(
x = country, y = prop(after_stat(count), after_stat(x)),
fill = cat_type, label = scales::percent(prop(after_stat(count), after_stat(x)))
)) +
geom_bar(position = position_fill()) +
geom_text(stat = "count", position = position_fill(vjust = 0.5), colour = "white", size = 5) +
labs(y = "Percent", title = "Top Big Cat Populations", x = "Country") +
scale_fill_discrete(name = NULL, labels = c("Siberian/Bengal", "Other wild cats", "Puma/Leopard/Jaguar")) +
scale_y_continuous(labels = scales::percent)
Created on 2021-07-28 by the reprex package (v2.0.0)