On Sun, Oct 2, 2011 at 10:05 AM, Erik Svensson
<erik.b.svens...@gmail.com> wrote:
> 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)
>
Try this:
> ave(rownames(df), df$ID, FUN = length) > 1
[1] TRUE FALSE TRUE FALSE
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