Use 'intersect' to get the items common in both dataframes and then use
that to extract the data in common.

On Friday, November 11, 2011, kickout <kyle.kocak@gmail.com> wrote:
> I've scoured the archives but have found no concrete answer to my
question.
>
> Problem: Two data sets
>
> 1st data set(x) = 20,000 rows
> 2nd data set(y) = 5,000 rows
>
> Both have the same column names, the column of interest to me is a
variable
> called strain.
>
> For example, a strain named "Chab1405" appears in x 150 times and in y 25
> times...
> strain "Chab1999" only appears 200 times in x and none in y (so i dont
want
> that retained).
>
>
> I want to create a new data frame that has all 175 measurements for
> "Chab1405" and any other 'strain' that appears in both the two data sets..
> but not strains that appear in only one data set...So i want the
> intersection of two data sets (maybe?).
>
> I've tried x %in% y, but that only gives TRUE/FALSE
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Combining-Overlapping-Data-tp4032719p4032719.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

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