On 21.06.2019 19:09, Steven Yen wrote:
Now I see that results were replicated but running RNGversion
I get a warning message. Isn't there a way to do this clean?

Well, the old RNG is known to be not optimal, hence we give a warning if you choose the old one. This is the clean way if you really want to get the old (slightly buggy) behaviour.

Best,
Uwe Ligges


RNGversion("3.5.3") Warning message: In RNGkind("Mersenne-Twister",
"Inversion", "Rounding") : non-uniform 'Rounding' sampler used


On 6/22/2019 1:03 AM, Uwe Ligges wrote:
What does not work?


For me it works under R-3.6.0:

  x<-1:500
  set.seed(12345671)
  j<-sample(1:length(x),size=60); y<-x[j]
  summary(j)

  RNGversion("3.5.3")
  set.seed(12345671)
  j<-sample(1:length(x),size=60); y<-x[j]
  summary(j)


Now I get the results you got udner the old R.

Best,
Uwe Ligges



On 21.06.2019 18:39, Steven Yen wrote:
Thanks. Somewhat of a mystery. The older version I had was
R-3.5.3patched.
I cannot get the RNGversion command to run. Can you help? Thanks.

On 6/22/2019 12:25 AM, Uwe Ligges wrote:
See the NEWS, the RNG has been changed, use RNGversion

On 21.06.2019 18:10, Steven Yen wrote:
Dear all,
I did all this work with older R (R-3.5.3.patched and older)
but now with R3.6 I cannot replicate the results.
Below I sample 60 observations from 1:500 using the sample command
with
a random seed of 123. I get different results. Advice appreciated.
Steven Yen

   > # Run under R-3.6.0
   > x<-1:500
   > set.seed(12345671)
   > j<-sample(1:length(x),size=60); y<-x[j]
   > summary(y)
      Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
      26.0   134.2   240.0   249.8   368.0   500.0

   > # Run under R-3.5.3.patched
   > x<-1:500
   > set.seed(12345671)
   > j<-sample(1:length(x),size=60); y<-x[j]
   > summary(y)
      Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
       9.0   122.2   205.0   236.1   364.2   493.0



Under R-3.6.0  use, e.g.
RNGversion("3.5.2")
to get reproducible results from the older RNG.

Best,
Uwe Ligges



--
st...@ntu.edu.tw  (S.T. Yen)




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