how to change variable levels in dataser, save the new level created and go further with a dplyr code

I would like to change the levels of the Death variable in my dataset (and I have done this as follows):

   data <- data %>% 
      mutate(Death = ifelse(Death == 0, 'No Death', 'Death')) 

and then to summarise it as follows:

sum_table <- data %>%
  group_by(Treatment, Death) %>% 
  summarize(n = n()) %>% 
  mutate(freq = n/sum(n)) %>%
  print()

This is the only way I know to realize both things. If I wrapped them together as follows:

 data %>%
      mutate(Death = ifelse(Death == 0, 'No Death', 'Death'))%>%
      group_by(Treatment, Death) %>% 
      summarize(n = n()) %>% 
      mutate(freq = n/sum(n)) %>%
      print()

the variable Death is still coded as 1 and 0 into the original dataset.

Could you possibly suggest the term that is lacking to run the code altogether and save the new levels of that variable in the dataset?

Thanks

>Solution :

We may use the %<>% operator from magrittr to make the changes in the original data

library(magrittr)
library(dplyr)
data %<>%
   mutate(Death = ifelse(Death == 0, 'No Death', 'Death')) %>%
   group_by(Treatment, Death) %>% 
   summarize(n = n()) %>% 
   mutate(freq = n/sum(n))