-----Original Message-----
From: ellerbcn at musc.edu
Sent: Wed, 8 May 2013 14:50:42 -0400
To: ellerbcn at musc.edu, r-help at r-project.org
Subject: Re: [R] Correctly Setting New Seed
By crash, I mean that it shuts the program and no error message is
provided. However, my question is more general - how to get the two
versions of code below to return the same string of random numbers. The
code provided will run without incident and is only provided to make the
problem clear. The true code that causes the crash isn't necessary, only
that I need to be able to split it into smaller chunks while maintaining
the integrity of the random sequence even if the program closes and all
information is lost.
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Ellerbe, Caitlyn Nicole
Sent: Wednesday, May 08, 2013 2:06 PM
To: r-help at R-project.org
Subject: [R] Correctly Setting New Seed
Could someone please suggest a method to store the current random seed.
I'm having trouble understanding how to correctly use set.seed and
.Random.seed.
Specifically, I have the following code that crashes:
set.seed(seed)
for(i in 1:10){
print( runif(1))
}
To get around this I need to split the number of iterations into chunks:
set.seed(seed)
for(i in 1:5){
print(runif(1))
new.seed<-.Random.seed
}
set.seed(new.seed)
for(i in 6:10){
print(runif(1))
}
When I compare the sequence of numbers from the single run to the
sequence from the chunked code they don't match. Is the .Random.seed
argument in the wrong position or is there another way to accomplish
this?
-------------------------------------------------------
Caitlyn Ellerbe
Division of Biostatistics
Department of Public Health
Medical University of South Carolina
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