On 10/05/2019 8:55 a.m., Martin Maechler wrote:
Ulrike Grömping
on Fri, 10 May 2019 06:39:39 +0200 writes:
> Mark,
> I used
> if (getRversion()>="3.6.0") RNGkind(sample.kind="Rounding")
> And that works. Actually, using rnorm afterwards also
> yields the same
> Ulrike Grömping
> on Fri, 10 May 2019 06:39:39 +0200 writes:
> Mark,
> I used
> if (getRversion()>="3.6.0") RNGkind(sample.kind="Rounding")
> And that works. Actually, using rnorm afterwards also
> yields the same random numbers.
Yes, "of course",
Ulrike,
RNGkind() worked on 3.4.1 and 3.6.0 but generated a warning on R 3.5.3. The
message follows:
checking whether package ‘nprcmanager’ can be installed ... WARNING
Found the following significant warnings:
Note: possible error in 'RNGkind(sample.kind = "Rounding")': unused argument
Mark,
I used
if (getRversion()>="3.6.0") RNGkind(sample.kind="Rounding")
And that works. Actually, using rnorm afterwards also yields the same random
numbers.
My question arose from the fact that I confused myself about the noLD output I
was supposed to reproduce. Therefore, my problem
I was dealing with a similar issue but in the context of getting the same unit
test code to work on multiple versions of R in a Travis-CI build. It seems
RNGkind(sample.kind="Rounding”) does not work prior to version 3.6 so I
resorted to using version dependent construction of the argument list
On 09/05/2019 12:43 p.m., Ulrike Grömping wrote:
Hmmmh, but does that also apply if the sample.kind has been set to the
old version? I.e., would
if (getRversion()>="3.6.0") RNGkind(sample.kind="Rounding")
val <- 10
set.seed(val)
discard <- sample(1000, 100)
rnorm(36)
produce the same normal
Hmmmh, but does that also apply if the sample.kind has been set to the
old version? I.e., would
if (getRversion()>="3.6.0") RNGkind(sample.kind="Rounding")
val <- 10
set.seed(val)
discard <- sample(1000, 100)
rnorm(36)
produce the same normal random numbers in 3.5.3 and 3.6.0? I would have
On 09/05/2019 9:15 a.m., Ulrike Grömping wrote:
Dear R package authors,
I am currently struggling with differences in test results between R
versions 3.5.3 and 3.6.0: There are expected ones (from the new behavior
of sample(), which can be switched off by
RNGkind(sample.kind="Rounding")) and
Dear R package authors,
I am currently struggling with differences in test results between R
versions 3.5.3 and 3.6.0: There are expected ones (from the new behavior
of sample(), which can be switched off by
RNGkind(sample.kind="Rounding")) and unexpected ones: The normal random
numbers from
