I'll second Bert's comments, also assuming this is not homework. In addition:
Your use of "mid-point" is not a standard one (in my world), nor perhaps is that of "simulate". Let me attempt to re-state your problem: You wish to choose 10-tuples of integers 0 <= k <= 100 satisfying 1) 0 <= k_i <= 100 for i = 1:10; and 2) k_(i+1) - k_(i) >= 5 for i = 1:9. Finally, you'd like 1000 of those 10-tuples. [Here, "k_(i)" is the usual notation for order statistics.] Is that the task? If so, are there are other requirements on the k_i ? The word "simulate" suggests the k_i are supposed to be realizations of random variables. If so, what sort of distributional assumptions did you have in mind? ---JRG On Saturday, May 31st, 2025 at 6:09 PM, Bert Gunter <bgunter.4...@gmail.com> wrote: > > > If this is a real problem and not homework, can you tell us the > context? It is not at all clear (to me) what you mean by "simulate", > i.e. what your target distribution is, which may depend on/be defined > by the context. > > Bert > > "An educated person is one who can entertain new ideas, entertain > others, and entertain herself." > > > On Sat, May 31, 2025 at 11:52 AM Brian Smith briansmith199...@gmail.com wrote: > > > Hi, > > > > Let say I have a range [0, 100] > > > > Now I need to simulate 1000 10 mid-points within the range with > > accuracy upto second decimal number. > > > > Let say, one simulated set is > > > > X1, X2, ..., X10 > > > > Ofcourrse > > > > X1 < X2 < ... <X10 > > > > I have one more constraint that the difference between any 2 > > consecutive mid-points shall be at-least 5.00. > > > > I wonder if there is any Statistical theory available to support this > > kind of simulation. > > > > Alternately, is there any way in R to implement this? > > > > ______________________________________________ > > 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 > > https://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 https://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 https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
