
Hi all,

I have a dataset similar to the following

Name	Date	Value
A	1/01/2000	4
A	2/01/2000	4
A	3/01/2000	5
A	4/01/2000	4
A	5/01/2000	1
B	6/01/2000	2
B	7/01/2000	1
B	8/01/2000	1

I would like R to remove duplicates based on column 1 and 3 only. In
addition, I would like R to remove duplicates based on the underlying and
overlying row only. For example, for A, I would like to remove row 2 only
and keep row 1, 3 and 4.

I have tried: unique() and replicated(), but I do not have much success. I
have also tried: dataset<-c(1,diff(dataset)!=0), but I don't know how to
apply it to this multi-column situation.

Any help would be greatly appreciated.

Thanks in advance,
Chris
-- 
View this message in context: http://r.789695.n4.nabble.com/Remove-duplicated-rows-tp2023065p2023065.html
Sent from the R help mailing list archive at Nabble.com.

	[[alternative HTML version deleted]]

