Thanks, William.  You read my mind.
Cheers,
Mike

On Mon, Mar 18, 2013 at 4:00 PM, Jeff Newmiller <jdnewmil@dcn.davis.ca.us>wrote:

> Your request is meaningless.  The seed itself is effectively overwritten
> each time a random number is requested. It is only the repeatability of the
> sequence of random numbers following the set.seed call that is
> reproducible. You can set the seed to something else, but there is always a
> seed and it changes as numbers are requested.
> ---------------------------------------------------------------------------
> Jeff Newmiller                        The     .....       .....  Go Live...
> DCN:<jdnewmil@dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live
> Go...
>                                       Live:   OO#.. Dead: OO#..  Playing
> Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
> /Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
> ---------------------------------------------------------------------------
> Sent from my phone. Please excuse my brevity.
>
> C W <tmrsg11@gmail.com> wrote:
>
> >Yes, I agree with you.  I guess what I was really looking for is a
> >function
> >like UNset.seed()?
> >
> >By having set.seed(), I can have reproducible code.  But what if I want
> >to
> >check my work against what's produced from set.seed(100)?
> >
> >I really want to escape from the shadow of set.seed(), can I unset it?
> >
> >On Mon, Mar 18, 2013 at 3:07 PM, Nordlund, Dan (DSHS/RDA) <
> >NordlDJ@dshs.wa.gov> wrote:
> >
> >> As I understand it, how R ��normally� does it is to use the system
> >clock
> >> to set the seed once per session, unless you use set.seed() to set a
> >new
> >> seed. You chose to set the seed to a different value.  But from that
> >point
> >> on, the pseudo random number generation continues  in the same way it
> >> �normally� does.  In your code below, each of your 100 histograms
> >will be
> >> different.  If you then execute the for loop again (but not the
> >> set.seed(100) statement), you will get a different set of histograms.
> > The
> >> only way you would be �confined to set.seed(100)� is if you keep
> >resetting
> >> the seed to 100.
> >>
> >> Dan
> >>
> >> Daniel J. Nordlund
> >> Washington State Department of Social and Health Services
> >> Planning, Performance, and Accountability
> >> Research and Data Analysis Division
> >> Olympia, WA 98504-5204
> >>
> >> From: C W [mailto:tmrsg11@gmail.com]
> >> Sent: Monday, March 18, 2013 11:50 AM
> >> To: Nordlund, Dan (DSHS/RDA)
> >> Cc: r-help
> >> Subject: Re: [R] How to stop set.seed() besides exiting out of R?
> >>
> >> set.seed(100)
> >> for (i in 1:100){
> >>     a <- rnorm(1000, mean=0, sd=1)
> >>     hist(a)
> >> }
> >>
> >> #Now say, I want to simulate without being confined to set.seed(100),
> >I
> >> just want to get a simulation like how R "normally" does it.
> >>
> >> Mike
> >>
> >> On Mon, Mar 18, 2013 at 2:40 PM, Nordlund, Dan (DSHS/RDA) <
> >> NordlDJ@dshs.wa.gov<mailto:NordlDJ@dshs.wa.gov>> wrote:
> >> > -----Original Message-----
> >> > From:
> >r-help-bounces@r-project.org<mailto:r-help-bounces@r-project.org>
> >> [mailto:r-help-bounces@r-<mailto:r-help-bounces@r->
> >> > project.org<http://project.org>] On Behalf Of C W
> >> > Sent: Monday, March 18, 2013 11:27 AM
> >> > To: r-help
> >> > Subject: [R] How to stop set.seed() besides exiting out of R?
> >> >
> >> > Hi list,
> >> >
> >> > I am curious how to stop the set.seed(), I don't want the same
> >repeated
> >> > random number.  I know I can set it to a different seed, but I
> >don't
> >> > want
> >> > to go through the trouble of setting different seed every time.
> >> >
> >> > Thanks,
> >> > Mike
> >> >
> >> Can you show us how you are using set.seed() that results in getting
> >the
> >> same sequence repeatedly?  If you are doing simulations in a loop,
> >then set
> >> the seed once, outside the loop.  Otherwise, I am not sure what you
> >are
> >> doing that causes problems.  A reproducible example would really
> >help.
> >>
> >> Dan
> >>
> >> Daniel J. Nordlund
> >> Washington State Department of Social and Health Services
> >> Planning, Performance, and Accountability
> >> Research and Data Analysis Division
> >> Olympia, WA 98504-5204
> >>
> >> ______________________________________________
> >> R-help@r-project.org<mailto: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.
> >>
> >>
> >>         [[alternative HTML version deleted]]
> >>
> >>
> >> ______________________________________________
> >> 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.
> >>
> >>
> >
> >       [[alternative HTML version deleted]]
> >
> >
> >
> >------------------------------------------------------------------------
> >
> >______________________________________________
> >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.
>
>

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