Here is how to find the values in common:
> dat1 <- paste('a', 1:6, sep='')
> dat2 <- paste('a', c(2,4:6), sep='')
> # find the data in common
> intersect(dat1, dat2)
[1] "a2" "a4" "a5" "a6"
>
On 3/25/08, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> I would like to compare two data sets saved as text files (example below) to
> determine if both sets are identical(or if dat2 is missing information that
> is included in dat1) and if they are not identical list what information is
> different between the two sets(ie output "a1", "a3" as the differing
> information). The overall purpose would be to remove "a1" and "a3" from dat
> 1 so both dat1 and dat2 are the same.
> My R abilities are somewhat limited so any suggestions are greatly
> appreciated.
>
> Alysta
>
> dat1
> a1
> a2
> a3
> a4
> a5
> a6
>
> dat2
> a2
> a4
> a5
> a6
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
