On 18/03/2013 19:59, William Dunlap wrote:
I am not sure of this, but I think you can unset the seed by removing the 
dataset .Random.seed
from the global environment.  E.g.,

set.seed(1)
runif(5)
[1] 0.2655087 0.3721239 0.5728534 0.9082078 0.2016819
rm(list=".Random.seed", envir=globalenv())
runif(5)
[1] 0.5952379 0.3355091 0.8820192 0.7633754 0.8064312


set.seed(1)
runif(5) # same as before
[1] 0.2655087 0.3721239 0.5728534 0.9082078 0.2016819
rm(list=".Random.seed", envir=globalenv())
runif(5) # different
[1] 0.52023610 0.73407695 0.08824484 0.26977430 0.80089250

Yes, almost all the time. R does keep a copy in memory when it is using it and writes it back out when done with it: so assuming nothing asynchronous is going on (e.g. a GUI callback) removing .Random.seed will cause the RNG to be re-initialized at next use.


Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com

-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
Behalf
Of Nordlund, Dan (DSHS/RDA)
Sent: Monday, March 18, 2013 12:44 PM
To: C W
Cc: r-help
Subject: Re: [R] How to stop set.seed() besides exiting out of R?

No, you cannot unset the seed.  You can set it to a different value, but a the 
random
number generators always need a starting seed.  If you don’t set one, R will 
set one for
you , you just won’t know what it is.  And as a practical matter, given a 
sequence of
random numbers you can’t tell what the starting seed was.  That is the point of 
good
random number generators.  Each sequence of random numbers for most intents and
purposes can be considered independent from previous sets of numbers.

Hope this is helpful,

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:tmrs...@gmail.com]
Sent: Monday, March 18, 2013 12:19 PM
To: Nordlund, Dan (DSHS/RDA)
Cc: r-help
Subject: Re: [R] How to stop set.seed() besides exiting out of R?

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)
<nord...@dshs.wa.gov<mailto:nord...@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:tmrs...@gmail.com<mailto:tmrs...@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)
<nord...@dshs.wa.gov<mailto:nord...@dshs.wa.gov><mailto:nord...@dshs.wa.gov<
mailto:nord...@dshs.wa.gov>>> wrote:
-----Original Message-----
From: 
r-help-boun...@r-project.org<mailto:r-help-boun...@r-project.org><mailto:r-
help-boun...@r-project.org<mailto:r-help-boun...@r-project.org>> [mailto:r-help-
bounces@r-<mailto:r-help-bounces@r-><mailto:r-help-bounces@r-<mailto:r-help-
bounces@r->>
project.org<http://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

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R-help@r-project.org mailing list
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--
Brian D. Ripley,                  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
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