Also read FAQ 7.31 before using 'numerics' as grouping factors. On Mon, Jul 18, 2011 at 6:36 AM, Sarah Goslee <sarah.gos...@gmail.com> wrote: > Your data1 and your data1_class file differ in the first three > columns. Assuming that's an error, here's one way to do it: > >> data1 <- data.frame(layer1=c(.2, .5, .2, .8, .2, .5, .5, .8, .2, >> .8),layer2=c(2,3,2,2,1,2,3,2,2,2), layer3=c(1,1,1,1,1,1,1,1,1,4)) >> data1 <- cbind(data1, class=as.numeric(as.factor(do.call(paste, data1)))) >> data1 > layer1 layer2 layer3 class > 1 0.2 2 1 2 > 2 0.5 3 1 4 > 3 0.2 2 1 2 > 4 0.8 2 1 5 > 5 0.2 1 1 1 > 6 0.5 2 1 3 > 7 0.5 3 1 4 > 8 0.8 2 1 5 > 9 0.2 2 1 2 > 10 0.8 2 4 6 > > You didn't give a reproducible example, and I didn't want to type in > all the decimal places, but you should be able to get the idea from > this example. Also, the class numbers are assigned on sorted character > rows, from lowest to highest, and not starting with the first one, as > in your example. If you do need the latter, some combination of > unique() and subsetting or merge() may work for you. > > Sarah > > On Mon, Jul 18, 2011 at 6:23 AM, Alfredo Alessandrini > <alfreal...@gmail.com> wrote: >> Hi, >> >> I need to make a cluster classification by the unique values of the data >> frame. >> >> I explain the problem. I need to classify this table, and assign to >> the same cluster each row that has the same combination of value: >> >> >>> data1 >> layer_1 layer_2 layer_3 >> [1,] 0.2460000000 2 -0.1 >> [2,] 0.5460000000 3 -0.1 >> [3,] 0.2460000000 2 -0.1 >> [4,] 0.8460000000 2 -0.1 >> [5,] 0.2460000000 1 -0.1 >> [6,] 0.5460000000 2 -0.1 >> [7,] 0.2460000000 2 -0.1 >> [8,] 0.8460000000 2 -0.1 >> [9,] 0.2460000000 2 -0.1 >> [10,] 0.2460000000 2 -0.1 >> >> >>> data1_class >> layer_1 layer_2 layer_3 class >> [1,] 0.2460000000 2 -0.1 1 >> [2,] 0.5460000000 3 -0.1 2 >> [3,] 0.2460000000 2 -0.1 1 >> [4,] 0.8460000000 2 -0.1 3 >> [5,] 0.2460000000 1 -0.1 4 >> [6,] 0.5460000000 2 -0.1 5 >> [7,] 0.5460000000 3 -0.1 2 >> [8,] 0.8460000000 2 -0.1 3 >> [9,] 0.2460000000 2 -0.1 1 >> [10,] 0.8460000000 2 -0.4 6 >> >> > > -- > Sarah Goslee > http://www.functionaldiversity.org > > ______________________________________________ > 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? ______________________________________________ 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.