Hi James,
Here is another option: all.equal() is more general, the sapply()
option I wrote assumes both data frames are basically the same, but
that maybe a few elements are different (e.g., you have two data sets
and are not sure which is more recent).
y <- x <- iris # x & y copies of iris
## change 15 elements from a random column
y[sample(150, 15), sample(4, 1)] <- 99
all.equal(x, y) # using all.equal
x[sapply(1:ncol(x), function(z) {x[, z]!=y[, z]})]
Cheers,
Josh
On Tue, Nov 23, 2010 at 9:17 AM, Jim Edd Jones <jejones...@comcast.net> wrote:
> Is it possible to use R to compare two datasets to look for discrepancies, as
> one would with the SAS procedure PROC COMPARE?
>
> Any help on this would be greatly appreciated.
>
> James E. Jones
> 135 Salina St.
> Lafayette, CO 80026
>
> [[alternative HTML version deleted]]
>
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--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/
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