A similar question was asked here. However, I did not manage to adopt that solution to my particular problem, hence the separate question.
An example dataset:
id group
1 1 5
2 1 998
3 2 2
4 2 3
5 3 998
I would like to delete all rows that are duplicated in id and where group has value 998. In this example, only row 2 should be deleted.
I tried something along those lines:
df1 <- df %>%
subset((unique(by = "id") | group != 998))
but got
Error in is.factor(x) : Argument "x" is missing, with no default
Thank you in advance