I would transform the original numbers into integers which you can use as group labels. The row numbers of the group labels are the indexes of your values.
Example: assume your input vector is dBin nGroups <- 5 # number of groups groups <- (dBin - min(dBin)) / (max(dBin) - min(dBin)) # rescale to the range [0,1] groups <- floor(groups * nGroups) + 1 # discretize to nGroups integers Now you can eg. get the indices for group 2 groups[groups == 2] Depending on the nature of your input data, it may be better to keep these groups in a column adjacent to your values, rather than in a separate vector, or even better to just calculate the groups on the fly in your downstream analysis with the approach given above in a function, rather than storing them at all. These are simple operations that should not add perceptibly to execution time. Cheers, Boris On Nov 4, 2015, at 6:40 AM, Alaios via R-help <r-help@r-project.org> wrote: > Thanks for the answer. Split does not give me the indexes though but only in > which group they fall in. I also need the index of the group. Is the first, > the second .. group?Alex > > > > On Tuesday, November 3, 2015 5:05 PM, Ista Zahn <istaz...@gmail.com> > wrote: > > > Probably > > split(binDistance, test). > > Best, > Ista > > On Tue, Nov 3, 2015 at 10:47 AM, Alaios via R-help <r-help@r-project.org> > wrote: >> Dear all,I am not exactly sure on what is the proper name of what I am >> trying to do. >> I have a vector that looks like >> binDistance >> [,1] >> [1,] 238.95162 >> [2,] 143.08590 >> [3,] 88.50923 >> [4,] 177.67884 >> [5,] 277.54116 >> [6,] 342.94689 >> [7,] 241.60905 >> [8,] 177.81969 >> [9,] 211.25559 >> [10,] 279.72702 >> [11,] 381.95738 >> [12,] 483.76363 >> [13,] 480.98841 >> [14,] 369.75241 >> [15,] 267.73650 >> [16,] 138.55959 >> [17,] 137.93181 >> [18,] 184.75200 >> [19,] 254.64359 >> [20,] 328.87785 >> [21,] 273.15577 >> [22,] 252.52830 >> [23,] 252.52830 >> [24,] 252.52830 >> [25,] 262.20084 >> [26,] 314.93064 >> [27,] 366.02996 >> [28,] 442.77467 >> [29,] 521.20323 >> [30,] 465.33071 >> [31,] 366.60582 >> [32,] 13.69540 >> so numbers that start from 13 and go up to maximum 522 (I have also many >> other similar sets).I want to put these numbers into 5 categories and thus I >> have tried cut >> >> >> Browse[2]> >> test<-cut(binDistance,seq(min(binDistance)-0.00001,max(binDistance),length.out=scaleLength+1)) >> Browse[2]> test >> [1] (217,318] (115,217] (13.7,115] (115,217] (217,318] (318,420] >> [7] (217,318] (115,217] (115,217] (217,318] (318,420] (420,521] >> [13] (420,521] (318,420] (217,318] (115,217] (115,217] (115,217] >> [19] (217,318] (318,420] (217,318] (217,318] (217,318] (217,318] >> [25] (217,318] (217,318] (318,420] (420,521] (420,521] (420,521] >> [31] (318,420] (13.7,115] >> Levels: (13.7,115] (115,217] (217,318] (318,420] (420,521] >> >> >> I want then for the numbers of my initial vector that fall within the same >> "category" lets say the (318,420] to be collected on a vector.I rephrase it >> the indexes of my initial vector that have a value between 318 to 420 to be >> put in a same vector that I can process then as I want. >> How I can do that effectively in R? >> I would like to thank you for your replyRegardsAlex >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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. > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.