This will work: my.list <- c(2, 28, 31, 4, 27) sort(my.list) diff(sort(my.list)) any(diff(sort(my.list)) == 1)
the middle two lines are only to illustrate what's going on. Best wishes! Charles Annis, P.E. [EMAIL PROTECTED] phone: 561-352-9699 eFax: 614-455-3265 http://www.StatisticalEngineering.com -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Anthony28 Sent: Tuesday, April 29, 2008 8:52 AM To: r-help@r-project.org Subject: [R] How do you test for "consecutivity"? I need to use R to model a large number of experiments (say, 1000). Each experiment involves the random selection of 5 numbers (without replacement) from a pool of numbers ranging between 1 and 30. What I need to know is what *proportion* of those experiments contains two or more numbers that are consecutive. So, for instance, an experiment that yielded the numbers 2, 28, 31, 4, 27 would be considered a "consecutive = true" experiment since 28 and 27 are two consecutive numbers, even though they are not side-by-side. I am quite new to R, so really am puzzled as to how to go about this. I've tried sorting each experiment, and then subtracting adjacent pairs of numbers to see if the difference is plus or minus 1. I'm also unsure about whether to use an array to store all the data first. Any assistance would be much appreciated. -- View this message in context: http://www.nabble.com/How-do-you-test-for-%22consecutivity%22--tp16959748p16 959748.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. ______________________________________________ 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.