[R] Getting different results with set.seed()
dr@@|@m@o|@ng| @end|ng |rom gm@||@com
Thu Aug 19 10:10:28 CEST 2021
It is more than 2000 lines of code with a lot of functions and data inputs.
I am not sure whether it would be useful to upload it. However, you are
absolutely right. I used
Step 1. Self-coded functions (these functions generate random numbers as
Step 2: set.seed (123)
Step 3: Call those functions.
Step 4: model results.
I close the R session and run the code from step 1. I get different results
for the same set of values for parameters.
On Thu, 19 Aug 2021 at 09:56, PIKAL Petr <petr.pikal using precheza.cz> wrote:
> Please provide at least your code preferably with some data to reproduce
> this behaviour. I wonder if anybody could help you without such
> My wild guess is that you used
> some code
> the code used again
> in which case you have to expect different results.
> > -----Original Message-----
> > From: R-help <r-help-bounces using r-project.org> On Behalf Of Shah Alam
> > Sent: Thursday, August 19, 2021 9:46 AM
> > To: r-help mailing list <r-help using r-project.org>
> > Subject: [R] Getting different results with set.seed()
> > Dear All,
> > I was using set.seed to reproduce the same results for the discrete event
> > simulation model. I have 12 unknown parameters for optimization (just a
> > little background). I got a good fit of parameter combinations. However,
> > when I use those parameters combinations again in the model. I am getting
> > different results.
> > Is there any problem with the set.seed. I assume the set.seed should
> > produce the same results.
> > I used set.seed(1234).
> > Best regards,
> > Shah
> > [[alternative HTML version deleted]]
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> > and provide commented, minimal, self-contained, reproducible code.
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