Hi Chuck and all,
Thanks for your response. It is really helpful for me.
David
2018-07-07 7:30 GMT+08:00 Berry, Charles <ccbe...@ucsd.edu>:
> Sorry about the last incomplete post. Accidentally hit send.
>
> Meant to say that I was hoping that a correct, but obscure response from
> me would motivate David to step back and think about his problem long
> enough to see that it has an easy solution.
>
> Sorry if that was out-of-line.
>
> Chuck
>
> > On Jul 6, 2018, at 4:27 PM, Charles Berry <ccbe...@ucsd.edu> wrote:
> >
> >> On Jul 6, 2018, at 3:31 PM, Duncan Murdoch <murdoch.dun...@gmail.com>
> wrote:
> >>
> >> On 06/07/2018 1:18 PM, Berry, Charles wrote:
> >>> A liitle math goes along way. See below.
> >>>> On Jul 5, 2018, at 10:35 PM, Marino David <davidmarino...@gmail.com>
> wrote:
> >>>>
> >>>> Dear Bert,
> >>>>
> >>>> I know it is a simple question. But for me, at current, I fail to
> implement
> >>>> it. So, I ask for help here.
> >>>>
> >>>> It is not homework.
> >>>>
> >>>> Best,
> >>>>
> >>>> David
> >>>>
> >>>> 2018-07-06 13:32 GMT+08:00 Bert Gunter <bgunter.4...@gmail.com>:
> >>>>
> >>>>> Is this homework?
> >>>>>
> >>>>> (There is an informal no-homework policy on this list).
> >>>>>
> >>>>> Cheers,
> >>>>> Bert
> >>>>>
> >>>>>
> >>>>>
> >>>>> Bert Gunter
> >>>>>
> >>>>> "The trouble with having an open mind is that people keep coming
> along and
> >>>>> sticking things into it."
> >>>>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
> >>>>>
> >>>>> On Thu, Jul 5, 2018 at 10:23 PM, Marino David <
> davidmarino...@gmail.com>
> >>>>> wrote:
> >>>>>
> >>>>>> Dear All,
> >>>>>>
> >>>>>> I would like to generate N random Bernoulli draws given a
> probability
> >>>>>> function F(x)=1-exp(-2.5*x) in which x follows uniform
> distribution, say
> >>>>>> x~U(0,2).
> >>> If each Bernoulli draw is based on its own draw of x, then
> >>> rbinom( N, 1, 0.8013476 )
> >>> is what you want.
> >>> It is left as an exercise for the reader to verify that the constant
> 0.8013476 is correct up to approximation error, and to prove that such a
> Bernoulli mixture is also Bernoulli. Perhaps,
> >>> ?integrate
> >>> will help.
> >>> But if the x's are shared you need to use runif, expm1, and (possibly)
> rep to produce a vector to be used in place of the prob argument.
> >
>
>
>
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