How to efficiently convert combination value to category based on each value?

I have a vector like this: 1=cat, 2=dog,3=duck,4=chicken, 5=donkey

animal_type<-c("1", "1 2","1 2 3","1 2 3 4", "1 2 3 4 5", "1 2 3 5","1 2 4","1 2 4 5","1 2 5","1 3")

Now, instead of this combination value, I want to convert them in to category based on each animal type, which ideally looks like (the number in column "count" is just made up, not the correct number based on the dataset):

     animal_type  count
        cat        3
        dog        6
        duck       7
        chicken    4
        donkey     3

or instead of animal’s name, just like this:

    animal_type  count
      1            3     
      2            6
      3            7
      4            4
      5            3

My question is whether there is an efficient way to achieve this goal in R ? Thanks a lot~~!

>Solution :

We may use separate_rows to split the column, then use the index to change the values to animal names and do a group by summarise or use count

library(dplyr)
library(tidyr)
df %>% 
  separate_rows(animal_type, convert = TRUE)  %>% 
  group_by(id, animal_type = c('cat', 'dog', 'duck', 'chicken', 'donkey')[animal_type]) %>% 
  summarise(count = n())