I have a dataframe which looks like this:
Status ID
A 1
B 1
B 1
A 1
B 1
A 1
A 2
A 2
A 2
A 2
B 3
B 3
B 3
To illustrate my desired output, please have a look at below:
Status ID
B 1
B 1
B 1
A 2
A 2
A 2
A 2
B 3
B 3
B 3
As you can see, the only thing that changes is for group ID = 1. If a group contains both a "A" and "B" status, I'd like to remove the "A" status.
However, Group ID 2 and 3 did not change (ie no lines removed) because: if each group ID only contains a "A", then it will remain the same. Likewise, if each group ID only contains a "B", it will also remain the same. Hence both remains the same.
Using dyplyr, this is my attempt:
df1_clean <- df1 %>% group_by(ID, Status)
%>% filter(ifelse((Status == A | Status == B), Status == B,
ifelse((Status == A), Status == A,
ifelse((Status == B), Status == B))))
However, this filter will not work. Any help would be appreciated!
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