extract common rows from a dataframe
1. What does "common" mean? (noting that 39.35 != 39.33 ) 2. But: ?"[" ## or easier, but less flexible ?subset Also, spend some time with "An Introduction to R." Unless I misunderstand, this is very basic, and you need to first put in some time to learn R's basic procedures instead of posting here. Hint:
x <- data.frame(a = sample(1:3,10,rep=TRUE), b = sample(letters[1:10],10)) x[x$a == 3,]
Cheers, Bert
On Tue, Jun 11, 2013 at 8:45 AM, Ellie Papazisi <elliepapazisi at gmail.com> wrote:
Hello, I'm trying to extract the common rows from a data frame, which is
something like this :
* DEPTH SALINITY DEPTH SALINITY*
*18 87 39.06 94 39.06*
*19 173 39.05 141 NA*
*20 260 39.00 188 39.07*
*21 312 38.97 207 39.03*
*22 1 39.36 1 39.35*
*23 10 39.36 10 39.33*
*24 20 39.36 20 39.33*
*25 30 39.35 30 39.33*
*
*
i want to extract the rows with the same depth.
i cannot do something like *data.frame[22:25,]* because i have lots of rows
any help?
thank you
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Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm