Hello,
In a data frame I want to identify ALL duplicate IDs in the example to be
able to examine "OS" and "time".
(df<-data.frame(ID=c("userA", "userB", "userA", "userC"),
OS=c("Win","OSX","Win", "Win64"),
time=c("12:22","23:22","04:44","12:28")))
ID OS time
1 userA Win 12:22
2 userB OSX 23:22
3 userA Win 04:44
4 userC Win64 12:28
My desired output is that ALL records with the same IDs are found:
userA Win 12:22
userA Win 04:44
preferably by returning logical values (TRUE FALSE TRUE FALSE)
Is there a simple way to do that?
[-- With duplicated(df$ID) the output will be
[1] FALSE FALSE TRUE FALSE
i.e. not all user A records are found
With unique(df$ID)
[1] userA userB userC
Levels: userA userB userC
i.e. one of each ID is found --]
Erik Svensson
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