It works!
Thanks,
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Jose Claudio Faria
UESC/DCET/Brasil
joseclaudio.faria at gmail.com
Telefones:
55(73)3680.5545 - UESC
55(73)99966.9100 - VIVO
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If you have software to deal with statistics, you have ar
There seem to be a couple of ways to do this.
Rngkind( sample.kind="Rounding" )
or
RNGversion("3.5.2")
per
?Random
https://stat.ethz.ch/pipermail/r-help/2019-June/463109.html
On July 30, 2019 5:31:13 PM PDT, Jose Claudio Faria
wrote:
>Thanks Patrick.
>
>I took a look at the documentation o
Thanks Patrick.
I took a look at the documentation of the RNGkind and RNGversion
functions but didn't understand how they work. Can you exemplify how I
can, through them, to recapture the old behavior?
Best,
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Jose Claudio Faria
UESC/DCET/Brasil
jose
Poorly phrased--makes it act differently with respect to set.seed() .
On Tue, Jul 30, 2019 at 6:55 PM Patrick (Malone Quantitative)
wrote:
>
> My understanding is that sample() in 3.6.0 did, in fact, change in
> ways that detach it from set.seed().
>
> You can use RNGkind() or RNGversion() to rec
My understanding is that sample() in 3.6.0 did, in fact, change in
ways that detach it from set.seed().
You can use RNGkind() or RNGversion() to recapture the old behavior.
See https://cran.rstudio.com/bin/windows/base/NEWS.R-3.6.1.html in the
section CHANGES IN R 3.6.0 .
Also, please do not pos
Hi,
I just noticed the difference in a teaching data generation script between
version 3.6.1 and earlier.
#! R version 3.4.3
set.seed(2019); sample(1:10, 1)
[1] 8
#! R version 3.5.1patched
set.seed(2019); sample(1:10, 1)
[1] 8
#! R version 3.5.3patched
set.seed(2019); sample(1:10, 1)
[1] 8
#! R
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