[R] Simulating mid-points from a defined range

[Jeff Newmiller]

Your description is not clear at the point where you "project it to the original space."

Anyway, this sounds like homework, as the solution to this particular example is trivial when considered from the right point of view.

On May 31, 2025 12:06:49 PM PDT, Sergei Ko <sggp.sergei using gmail.com> wrote:
>Hi!
>Just an idea. You randomly select the first point. Cut +/- 5 from the
>original space [0;100]. Select second point. Project it to the original
>space. Cut again. Repeat.
>Simplified method without cutting: every time mark +/- 5 as a bad space and
>select point again if it is in forbidden area.
>Hope it helps.
>Regards,
>Sergiy
>
>On Sat, 31 May 2025, 19:52 Brian Smith, <briansmith199312 using 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?
>>
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>
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>
>______________________________________________
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-- 
Sent from my phone. Please excuse my brevity.