For loop
You could use the duplicated function maybe:
mtest
id time value
[1,] 1 3 1
[2,] 1 3 2
[3,] 1 2 3
[4,] 1 1 4
[5,] 2 1 5
[6,] 2 3 6
[7,] 2 3 7
[8,] 2 3 8
duplicated(mtest[,1:2])
[1] FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE
mtest[!duplicated(mtest[,1:2]),]
id time value
[1,] 1 3 1
[2,] 1 2 3
[3,] 1 1 4
[4,] 2 1 5
[5,] 2 3 6
On 30.11.2012, at 17:15, Jessica Streicher wrote:
Hello Bikek, please use dput() next time to provide the data, its easier to use that. also: looking at the data provided, how would you want to decide which value of the non-unique times to retain? Just take the first one? They aren't all the same. On 30.11.2012, at 16:59, bibek sharma wrote:
Hello user, I have large data containing subject id, time and response where subjects are measured repeatedly. However some time are duplicates. I only want data with unique time points per id. I mean if time is repeated, then take only one. Here is a sample data. id time res 1 2 0.64 1 3 0.78 1 3 6.5 1 3 4.5 1 4 4 1 5 3.4 2 10 5.7 2 11 5.8 2 11 9.3 2 11 3.4 2 12 3.4 2 13 6.7 3 3 5.6 3 3 3.4 3 4 2.3 3 5 5.6 3 12 9.8 3 10 7 3 24 6 3 16 4 for 1st subject I want this, id time res 1 2 0.64 1 3 0.78 1 4 4 1 5 3.4 Any suggestions are much appreciated! Thanks, Bikek
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______________________________________________ R-help at 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.