Using case_when with multiple true conditions

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This piece of code

library(dplyr)

letters = c("A","B","C")
numbers = c(4, 15, 35)

df <- data.frame(letters, numbers)

df %>% 
  mutate(category = case_when(
    numbers %% 5 == 0 ~ "fizz",
    numbers %% 7 == 0 ~ "buzz",
    TRUE ~ as.character(numbers)
  )
  )

yields a dataframe looking like this:

  letters numbers category
1       A       4        4
2       B      15     fizz
3       C      35     fizz

The outcome I would like to see is this data frame:

  letters numbers category
1       A       4        4
2       B      15     fizz
3       C      35     fizz
4       C      35     buzz

Since for row C two conditions are true I want to have one row created for each of them. How could I achieve this?

dplyr case-when r
1 Answers

case_when/ifelse would return output for only 1 of the condition. You could do something like this though :

library(dplyr)
df %>% 
  mutate(category = case_when(
    numbers %% 5 == 0 & numbers %% 7 == 0 ~ "fizz, buzz",
    numbers %% 5 == 0 ~ "fizz",
    numbers %% 7 == 0 ~ "buzz",
    TRUE ~ as.character(numbers))) %>% 
    tidyr::separate_rows(category)

#  letters numbers category
#  <chr>     <dbl> <chr>   
#1 A             4 4       
#2 B            15 fizz    
#3 C            35 fizz    
#4 C            35 buzz
user_39629140
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