Hi,

I am not sure I understand your question.
Are you asking how to find the rows that satisfies the condition of the
second row?
Something like:
(let's say the data.frame is called X)
X[,1] == "A" & X[,2] == 2 & X[,3] == "peach"


?


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On Wed, Oct 5, 2011 at 10:42 AM, lunarossa <gloriaalbe1@yahoo.it> wrote:

> I have this kind of matrix, with thousands of cases.
>
> A 2 apple
> A 2 peach
> A 3 peach
> B 1 pear
> B 4 peach
> B 4 beef
> B 7 beef
> C 1 peach
> D 2 apple
> D 5 peach
>
> I have to distinguish, from the other rows, the rows with "peach" and this
> is not a problem.
>
> I also have to discriminate the rows with peach like the second one
> (associated with the same two cells "A" and "2" to "apple", see first row)
> from the row like the 3rd or the 8th ones, when the first two cells are
> "unique" ("A" and "3" or "C" and "1").
>
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