HI Dirk, hi Romain,
allright, this is now clear to me, if I want to reuse memory, the allocated
memory from R (so implicitly in C) must of course have the same type -
otherwise the memory has a different size.
On the other side I then assume, that the Rcpp:as() function makes a
cast and there
Le 07/06/13 13:09, Simon Zehnder a écrit :
HI Dirk, hi Romain,
allright, this is now clear to me, if I want to reuse memory, the allocated
memory from R (so implicitly in C) must of course have the same type -
otherwise the memory has a different size.
so far, this is obvious.
On the other
Thank you Romain!
All clear now!
Best
Simon
On Jun 7, 2013, at 1:13 PM, Romain Francois wrote:
> Le 07/06/13 13:09, Simon Zehnder a écrit :
>> HI Dirk, hi Romain,
>>
>> allright, this is now clear to me, if I want to reuse memory, the allocated
>> memory from R (so implicitly in C) must o
It would appear that my Rcpp book is now shipping from Springer, and should
within days from Amazon et al. See my blog
http://dirk.eddelbuettel.com/blog/2013/06/07#rcppbook_available
and the 'Rcpp book' page at our slowly-growing rcpp.org site
http://www.rcpp.org/book/
for more. I will u
Hi Romain, hi Dirk,
sorry for posting here again, but I found something in some way connected to
this discussion - and pretty interesting concerning the Rcpp::as<>() function:
1. I create a class containing a list:
setClass("myclass", representation(par = "list"))
l <- list(lambda = array(0, d
Le 07/06/13 15:14, Simon Zehnder a écrit :
Hi Romain, hi Dirk,
sorry for posting here again, but I found something in some way connected to this
discussion - and pretty interesting concerning the Rcpp::as<>() function:
1. I create a class containing a list:
setClass("myclass", representation(
Hi Romain,
thanks for this precise answer. So the suggested methods below will work
without making a copy of the object. What is about the implicit call of
Rcpp::as<>() inside arma::mat()? It is a very convenient way to create an arma
object reusing memory and it seems to work just fine.
Be
Dear Rcpp experts,
I would like to be able to store the R random seed from a Rcpp
function and then reset it. In other words I would like to replicate
the following code in Rcpp:
savedSeed <- .Random.seed
x <- Rfunction(parameters1);
.Random.seed <- savedSeed
x1 <- Rfunction(parameters2);
wher
Hi Matteo,
I do not know what you really want to do, but if you want to replicate results,
you could do the following in Rcpp before running the RNG:
Rcpp::Environment baseEnv("package:base");
Rcpp::Function setSeed = baseEnv["set.seed"];
setSeed(0);//any other number would do it here
Best
You can do something like this (i'm on my phone, so you might have to change
it):
Environment g = Environment::global_env() ;
Environment::Binding RandomSeed = g[".Random.seed"] ;
You get the current value of the binding like this:
NumericVector someVariable = RandomSeed ;
And then when yo
Thanks for you replies.
I need to seed the seed because I'm estimating the likelihood
function in an MCMC algorithm, and I need to use the same random numbers in
order
to get a good acceptance ratio. (I could also pass vectors of random
numbers around but
that's quite messy).
For some reason what
Sorry, what I want to do is to call an R function from Rcpp:
cppFunction('
List myFun(int n, Function foo)
{
RNGScope scope;
Environment g = Environment::global_env();
Environment::Binding RandomSeed = g[".Random.seed"];
IntegerVector someVariable = RandomSeed;
NumericVector
This would be easier if base::set.seed() accepted a value of .Random.seed
instead of just a scalar integer or, new to R-3.0.0, NULL. If set.seed()
returned the
previous value of .Random.seed (NULL if there was no previous value) things
might be even easier. People should not have to know where .
Matteo,
Maybe you may need to figure this out in plain C(++) code based on the
Writing R Extensions manual first. R makes an assumption about keeping the
RNGs in a good state, I am not entirely sure if you actually can do what you
want to do. Just because you can call an R function from Rcpp doe
On Jun 7, 2013 12:12 PM, "Dirk Eddelbuettel" wrote:
> Maybe what you want is more easily done with the RNGs from C++ (esp
C++11),
> Boost, ... or something different from R. It may work, but we are
> (currently) simply not set up for it.
If you go with something different from R, I've had good
Dirk,
you are right, intuitively I see that the way I'm doing things doesn't
seem very save. The motivation behind my experimentation is that
I'm trying to move things from R to C++ in order to avoid that segfault
problem that we observed a couple of weeks ago.
Probably I'm clinging a bit too muc
Le 07/06/13 16:07, Simon Zehnder a écrit :
Hi Romain,
thanks for this precise answer. So the suggested methods below will work
without making a copy of the object.
yes
What is about the implicit call of Rcpp::as<>() inside arma::mat()? It is a
very convenient way to create an arma object r
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