I do not understand what you mean to do with the complete d and incomplete words in our code. Here is an example of computing the cumsum of column B in a toy data frame with and without suing the replace_na function.
df3 <- data.frame(A=1:4,B=c(1,2,NA,4))
df3 %>%
mutate(
cum_replace_na = cumsum(replace_na(B, 0)),
cum_with_NA = cumsum(B)) %>%
print()
A B cum_replace_na cum_with_NA
1 1 1 1 1
2 2 2 3 3
3 3 NA 3 NA
4 4 4 7 NA
Thank you @FJCC - that worked! And apologies for not explaining the names of the columns. I am creating a cumulative tally of survey responses that have been 'completed' and a cumulative tally of survey responses that are 'incomplete'.