}'
)
Both methods let you directly call the function callFunction(x, f) (without
having to use .Call())
callFunction(rnorm(30), sum)
On Thu, May 23, 2013 at 9:14 PM, Peng Yu wrote:
> Hi,
>
> I'm able to compile 2013-01-05-r-function-from-c++.cpp to the .so
> file. B
On 25 May 2013 at 06:50, Peng Yu wrote:
| Hi Dirk,
|
| Here is what I got. Note that I have to used .Call and change the
| arguments to the cpp function as SEXP and convert them to Function and
| NumericVector inside the cpp function.
|
| But the example 2013-01-05-r-function-from-c++.cpp takes
On 24 May 2013 at 05:17, Peng Yu wrote:
| I want to put the C++ function "callFunction" in a cpp file in src/
| directory of an R package and use R (in R/) to call such a function.
| Because I want to avoid the compilation need each time to use the
| function. Could anybody show me an e
Hi Dirk,
Here is what I got. Note that I have to used .Call and change the
arguments to the cpp function as SEXP and convert them to Function and
NumericVector inside the cpp function.
But the example 2013-01-05-r-function-from-c++.cpp takes Function and
NumericVector as arguments directly. This
Hi,
I'm able to compile 2013-01-05-r-function-from-c++.cpp to the .so
file. But I'm not able to call "callFunction" in R does anybody know
what the correct way is to call R functions in C++? Thanks.
> dyn.load('2013-01-05-r-function-from-c++.so')
> x <
eCpp("cpp_file_name.cpp "). Or if
> you use the package inline, you can do the following inside R.
>
> cppFunction('
> NumericVector callFunction(NumericVector x, Function f) {
>NumericVector res = f(x);
> return res;
> }'
>
Since you changed the function name, you can no longer call rcpp_hello_world()
from R. Try calling the new function name.
Better yet, start over, leave rcpp_hello_world code alone and add another .cpp,
.h, and .R file with another function.
Dale
On May 29, 2013, at 8:41 PM, Asis Hallab wrote
ntion use by R. You only need this when you call from R via .Call(). At
the C++ level you are open to any other (visible) C++ function -- which is
how we call other libraries.
My last piece of advice would be to write a mock C++ solution first. Write a
short main(), set up some data, call one functio
ve an unusual signature, and I'm not sure what
headers/linker directives I would need to include to get access to this
function.
I am aware that I could call the R level rank() function, but I'm trying
to avoid the performance penalty.
Thanks,
-Mark
Most of them are hidden. You can't ca
e call(FUN, R_NilValue);
Language::Proxy proxy(call, 1);
proxy = x;
call.fast_eval();
Rcpp::Rcout << "after call" << std::endl;
return;
}
I tested the error handling behaviors in
R: (AnyError() is R my implementation of a simplifed tryCatch(). It returns
TRU
Hello Rcppusers,
I want to call a r function in Cpp code, e.g.
int meanC( NumericVector x) {
return mean(x,_["na.rm"]=TRUE);
}
Here function mean is a r function not rewrittened Rcpp version's mean. I do
know one way to do this:
int meanC( Function f,NumericVector x) {
funs.h:137
So I try to call a kronecker function, the corresponding file in the
fn_kron.hpp file are:
1) In "R":
Rcpparma_hello_world <- function () {
.Call ( 'fn_kron_hpp_rcpparma_hello_world', PACKAGE = 'fn_kron.hpp')
}}
Rc
pile it from within R using sourceCpp("cpp_file_name.cpp ").
> Or if
> > you use the package inline, you can do the following inside R.
> >
> > cppFunction('
> > NumericVector callFunction(NumericVector x, Function f) {
> >NumericVecto
f2.h"
SEXP f2(){
using namespace Rcpp;
NumericVector x = f1();
x[0] = x[0] + 1;
return x;
}
f2.h:
#ifndef _fxwithinfx_f2_H
#define _fxwithinfx_f2_H
#include
RcppExport SEXP f2() ;
#endif
f2.R:
f2 <- function(){
.Call( "f2", PACKAGE = "fxwithinfx" )
}
On 02/05
dear members,
I have created a function mygrpc using cppFunction using Rcpp. When I call the
function after starting the R session, I get the following error:
> mygrpc(xmc1,ygix,ygrpc)
Error in .Call(, x, ygix, ygrpc) :
NULL value passed as symbol address
xmc1 is a matrix of OHLC data o
amp; FUN){
int n = x.nrow();
NumericVector result = no_init(n);
for (int r = 0; r < n; r++) {
Language call(FUN, x(r, _)) ;
result[r] = as(call.fast_eval());
}
return result;
}
or more efficiently:
// [[Rcpp::export]]
NumericVector rowApply(NumericMatrix& x, cons
superClass)) :
| no support for long vectors�� ../include/Rinlinedfuns.h:137
That's an R function. Maybe it needs another change for x_len_t?
| So I try to call a kronecker function, the corresponding file in the
| fn_kron.hpp file are:
The rest of your post is (and pardon my directness
I need to call R adist function over a big vector, many times.
Internally , adist is calling
adist_full<https://github.com/SurajGupta/r-source/blob/e242a7ebfb1b9921b29e2c5f88411f5018b0f74f/src/main/agrep.c>
defined
in src/main/agrep.c. So wonder If I can call the c function adist_full
di
base") ;
Function foo = base["mean"]
Romain
Le 5 août 2014 à 09:26, super a écrit :
> Hello Rcppusers,
> I want to call a r function in Cpp code, e.g.
> int meanC( NumericVector x) {
> return mean(x,_["na.rm"]=TRUE);
> }
> Here function mean is a r
Hi Konrad,
On 10 August 2022 at 08:22, konrad wrote:
| I have a question regarding the cost of .Call. If I implement the
| rosenbrock function in R and in Rcpp. The R version is substentially
| faster then the C++ version. The Rcpp function is basically an R
| function which calls the C
the background of my program is a little special, i will also
call R functions in the C++ function that i pass f to.
I knew that i can use Rcpp to call C++ functions in R, and use RInside to
call R functions in C++. But can i use them both at the same time?
I've tried "R -> C++ ->
On 11 October 2016 at 15:54, Amina Shahzadi wrote:
| I want to use dgev(x,shape=1,scale=1,location=0,log=FALSE) function of an R
| package "FAdist" in the framework of Rcpp. How can I call that?
|
| For example for the Poisson distribution which is basic function of R I have
| w
obar/
>From an interactive R shell I could call the function
rcpp_hello_world() successfully.
Then the very only thing I did was changing the function name
rcpp_hello_world to
conditionalProbabilityTables in three files src/rcpp_hello_world.h,
src/rcpp_hello_world.cpp, and R/rcpp_hello_world.R
Fi
Hi,
I'm writing a R package by Rcpp and I have a problem when setting default
value when call a R function in Rcpp. Here is an example to pass a R
function to C++, provided by http://adv-r.had.co.nz/Rcpp.html
#include using namespace Rcpp;// [[Rcpp::export]]RObject
callWithOne(Funct
Hello,
You seem to be confusing R namespaces and C++ namespaces and assuming you can
call an R function as if it belonged to a C++ namespace.
R functions and c++ functions are different things.
You can do something like:
// get the spatstat environment
Environment spatstat
Rcpp. When I call
> the function after starting the R session, I get the following error:
>
> > mygrpc(xmc1,ygix,ygrpc)
> Error in .Call(, x, ygix, ygrpc) :
> NULL value passed as symbol address
>
> xmc1 is a matrix of OHLC data of a stock, while ygix and ygrpc are
> fu
Hi Antonio,
This is about how R evaluation works. Might not just be what you think it is.
When you use Rcpp and therefore .Call things are evaluated fairly early, at
least earlier than what would happen with R, etc … you can reproduce what R
does by using promises. For example this work in
ii), e.g.:
http://www.mail-archive.com/search?q=call+R+function&l=rcpp-devel%40lists.r-forge.r-project.org
or try yourself:
http://www.mail-archive.com/rcpp-devel@lists.r-forge.r-project.org/
Nevertheless I liked the question and learned something today (thank
you Romain). So the trend i
ean(x);
| }
| with the error "can't convert SEXP to double"
| How can i fix it ? Tks.
With all due respect:
i)you have not motivated why you need mean from R
ii) how to call an R function from Rcpp as been discussed on this list
probably half a dozen times by
will always return a double.
> Since Rcpp can call an R function I was hoping RcppParallel would allow me to
> use a parallelFor to process the rows of the grid quickly. However, it keeps
> crashing R, and I am wondering if this is because an R function cannot be
> passed to Rcpp
ids declaration of 'operator()' with no type [-fpermissive]
C:/R/R-3.0.2/library/Rcpp/include/Rcpp/Language.h: In member function 'int
Rcpp::fixed_call< >::operator()()':
C:/R/R-3.0.2/library/Rcpp/include/Rcpp/Language.h:162:41: error: no
matching function for call to '
On 5 August 2014 at 16:25, Sven E. Templer wrote:
| ii), e.g.:
|
|
http://www.mail-archive.com/search?q=call+R+function&l=rcpp-devel%40lists.r-forge.r-project.org
|
| or try yourself:
|
| http://www.mail-archive.com/rcpp-devel@lists.r-forge.r-project.org/
Or stackoverfloww:
pp Module to treat the various argument ...
| as _["..."]. But i'm still very confused. Would you please give me an example
| to show how to use Rcpp to do the function transformation, especially when the
| "..." argument is used.
|
| And since the background of my program is a little
Amine,
On 30 December 2013 at 19:26, contact AG STUDY wrote:
| I need to call R adist function over a big vector, many times.
| Internally , adist is calling adist_full defined in src/main/agrep.c. So
| wonder If I can call the c function adist_full directly from my c++ code.
You may need to
-properly-in-r-console
Akshay: Please do not cross-post.
Dirk
| J.J.
|
| On Fri, Mar 23, 2018 at 7:49 AM, akshay kulkarni
| wrote:
|
| > dear members,
| >
| >
| > I have created a function mygrpc using cppFunction using Rcpp. When I call
| > the function after starting the R ses
On 14 October 2013 at 19:41, Romain Francois wrote:
| Most of them are hidden. You can't call them. For example:
|
| SEXP attribute_hidden do_rank(SEXP call, SEXP op, SEXP args, SEXP rho)
|
| The attribute_hidden hides the function. If you want this function to be
| available as part of
Hi Rcpp Friends
I want to use dgev(x,shape=1,scale=1,location=0,log=FALSE) function of an R
package "FAdist" in the framework of Rcpp. How can I call that?
For example for the Poisson distribution which is basic function of R I
have written the following code.
#include
using name
nvironment, e.g.
Environment("package:base")["mean"]
or
Environment base("package:base") ;
Function foo = base["mean"]
Romain
Le 5 août 2014 à 09:26, super a écrit :
Hello Rcppusers,
I want to call a r function in Cpp code, e.g.
int meanC( Numeric
pr min lq mean median uq max neval
>> cppFuncall(x, fun) 1.3 1.3 1.391.3 1.4 83 1
>> RcppFuncall(x, fun) 7.2 7.1 7.136.9 6.8 89 1
>> fun(x) 1.0 1.0 1.001.0 1.0 1 1
>>
>> So, o
a 'Vector<19>') to 'RObject' (aka
'RObject_Impl') for 1st argument
bool is_leaf(RObject x);
^
3 errors generated.
make: *** [cut_lower.o] Error 1
clang++ -std=c++11 -I/home/Hornik/tmp/R-d-clang/include -DNDEBUG
-I/usr/local/
8:22, konrad wrote:
> | I have a question regarding the cost of .Call. If I implement the
> | rosenbrock function in R and in Rcpp. The R version is substentially
> | faster then the C++ version. The Rcpp function is basically an R
> | function which calls the C++ function using .Cal
ec 30, 2013 at 7:33 PM, Dirk Eddelbuettel wrote:
>
> Amine,
>
> On 30 December 2013 at 19:26, contact AG STUDY wrote:
> | I need to call R adist function over a big vector, many times.
> | Internally , adist is calling adist_full defined in src/main/agrep.c. So
> | won
d in
>>>>> Rcpp/src/Module.cpp. Is this intentional? Should one or both of
>>>>> those be a maybe_init() call? I think as it stands the second call
>>>>> will overwrite the contents created by the first call.
>>>>>
>>>>>
Dear list first of all happy new year.
I have a question .. I would like to call rcpp function (so c++ function) into
R function (optim for example) called into rcpp. I had prototype an example
code and post
below. (Using Rcpp::InternalFunction(&foo))
Is it correct the way I had used? T
amically created function in R
#include
using namespace Rcpp;
double foobar(int x)
{
return x*2.0;
}
void makef()
{
function("dynfoo",&foobar);
}
RCPP_MODULE(test1)
{
function("foobar",foobar);
function("makef",&makef);
}
Then in R, I call
l()
load_all("NewPackage")
# The package recompiles, and I can see that the resulting *.o and *.so
have been updated.
# However, calling rcpp_hello_world() still returns the old output, i.e.
the function called from R does not seem to have been updated.
# Similarly, if I add a new
at
headers/linker directives I would need to include to get access to this
function.
I am aware that I could call the R level rank() function, but I'm trying to
avoid the performance penalty.
Thanks,
-Mark
___
Rcpp-devel mailing list
Rcpp-devel@
C++ code
a function call is used.) "
http://www.hep.by/gnu/r-patched/r-exts/R-exts_133.html
Definitions from the horse's mouth:
https://github.com/wch/r-source/blob/trunk/src/include/R_ext/Arith.h#L66
This was also pointed out by Bill Dunlap and indeed seems to be the
explanation for
red using Rcpp::function vs my
> implementation vs
> >> calling the function from R itself and this is what I got
> >>
> >> Unit: relative
> >> expr min lq mean median uq max neval
> >> cppFuncall(x, fun) 1.3 1.3 1.391.3 1.4 83 100
Hello i would like to compute the following code ;
Where R_user_F is a R function (i could write this function directly inin line
but is only for example because i want to call an R function more complex):
so when compile appear this error message: error:
"cannot convert 'R
Dear list first of all happy new year.
I have a question .. I would like to call rcpp function (so c++
function) into
R function (optim for example)
called into rcpp. I had prototype an example code and post
below. (Using Rcpp::InternalFunction(&foo))
Is it correct the way I had used? T
expand.grid, then for each row of that matrix,
> x, call f(x). For simplicity the function f will always return a double.
> Since Rcpp can call an R function I was hoping RcppParallel would allow me
> to use a parallelFor to process the rows of the grid quickly. However, it
> kee
library in R), all my other
| computations are now implemented in C++ & thread friendly. Does this mean I
| would have no other option but to go serial if I need to call R an function?
Do
| you have any alternative recommendations? I would really love to take
advantage
| of RcppParallel/TBB here,
ports.o
| clang++ -std=c++11 -I/home/Hornik/tmp/R-d-clang/include -DNDEBUG
-I/usr/local/
| include -I"/home/Hornik/lib/R/Library/3.1/x86_64-linux-gnu/Rcpp/include"
| -fpic -g -O3 -Wall -Wno-unused -pedantic -c cut_lower.cpp -o cut_lower.o
| cut_lower.cpp:35:7: error: no matching functio
-O3 -Wall -Wno-unused -pedantic -c RcppExports.cpp -o RcppExports.o
> clang++ -std=c++11 -I/home/Hornik/tmp/R-d-clang/include -DNDEBUG
> -I/usr/local/include
> -I"/home/Hornik/lib/R/Library/3.1/x86_64-linux-gnu/Rcpp/include" -fpic -g
> -O3 -Wall -Wno-unused -pedantic -
hi. if i Rcpp.package.skeleton(), i get this single R file,
anRpackage/R/rcpp_hello_world.R:
rcpp_hello_world <- function(){
.Call( "rcpp_hello_world", PACKAGE = "anRpackage" )
}
on the other hand, if i Rcpp.package.skeleton(attributes=TRUE), i get
two
ean=Environment("package::base")["mean"];
>|return mean(x);
>| }
>| with the error "can't convert SEXP to double"
>| How can i fix it ? Tks.
>
>With all due respect:
>
> i)you have not motivated why you need mean from R
>
> ii) how
On 11 November 2016 at 05:16, Jingyu He wrote:
| I'm writing a R package by Rcpp and I have a problem when setting default
value
| when call a R function in Rcpp. Here is an example to pass a R function to
C++,
| provided by http://adv-r.had.co.nz/Rcpp.html
|
| #include
| using namespace
;>> Perhaps Romain or Dirk could clarify for me when init_Rcpp_cache
>>> should be called. It appears to be getting called twice, once
>>> explicitly in the .onLoad expression in Rcpp/R/zzz.R and once
>>> implicitly by being part of the R_init_Rcpp function define
]’
RcppModule.cpp:372: instantiated from here
/Users/ianfellows/Library/R/3.0/library/Rcpp/include/Rcpp/Module.h:331: error:
no matching function for call to
‘Rcpp::Reference_Impl::Reference_Impl()’
/Users/ianfellows/Library/R/3.0/library/Rcpp/include/Rcpp/Reference.h:56: note:
candid
Hi,
I just commited Rcpp::fixed_call to support uses of STL algorithms such
as std::generate.
Here is an example that mimics :
> lapply( 1:10, function(n) rnorm(10) )
using Rcpp API :
funx <- cfunction(signature(), '
Language call( Function("rnorm"
elf
2 test_inline(xx) 1000 6.173 1.00 6.144
3 .Call("test", xx, package = "test") 1000 6.228 1.008910 6.217
1test(xx) 1000 6.657 1.078406 6.280
edd@max:/tmp$
edd@max:/tmp$ r pengyu3.r
Hello,
I noticed that a C++ function that I using RcppArmadillo and some R
API was increasing R's memory usage after exiting and and ecan after a
call to gc(). So I ran some "tests", which I will describe below,
along with my observations. My question are: (1) Am I observi
On Wed, Jun 20, 2012 at 12:52 AM, bbo...@tin.it wrote:
> Hello i would like to compute the following code ;
>
> Where R_user_F is a R function (i could write this function directly inin
> line but is only for example because i want to call an R function more
> complex):
> so w
As I was going through the Rcpp Quick Reference Guide, I just found a
solution to my problem :
In the .R file of my package, in the .Call function, there was no
argument telling my function needed an input variable... I added this,
rebuilt/installed the package, and now it works.
The new .R file
created a R-package with the function
included, thank you Simon!
Simon: I call the function from a program in R. The function creates a
matrix based on the input that I need for a neural network.
Best, Marc
I actually do not know, for what you are using this function.are you
calling
x27;Vector<19>') to 'value_type' (aka 'Rcpp::RObject_Impl')
>> for 1st argument
>> push_back(value_type&& __x)
>> ^
>> cut_lower.cpp:84:7: error: no matching function for call to 'is_leaf'
>> if(is_leaf( tree )) {
&
in R to CPU-paralellize the third
> | one (and for each variable of the third one, the R function is called,
> and
> | then internally, RcppArrayFire uses GPUs).
>
> Just because you want to access ONE gpu device N times does not make it N
> gpus.
>
> And as you have only one GP
Hi Matteo,
this is an interesting post. My assumption is, that as in the first approach
you call an R function which is implemented as a pointer (or reference to an R
function) this function always has access to the RNG scope. Whereas in the
second approach you call nested, which is a CPP
tions has been discussed in this list about a month ago:
|
| http://r.789695.n4.nabble.com/Linking-to-native-routines-in-other-pack
| ages-tt4683969.html#none
Not exactly. That question was about calling from another package for which the
calling-registered-functions approach was discussed; Hi
Hi,
I want to put the C++ function "callFunction" in a cpp file in src/
directory of an R package and use R (in R/) to call such a function.
Because I want to avoid the compilation need each time to use the
function. Could anybody show me an example how to do so? Thanks.
https://
t;> > Subject: Re: [Rd] must .Call C functions return SEXP?
> >> >
> >> > On Thu, Oct 28, 2010 at 12:15:56AM -0400, Simon Urbanek wrote:
> >> >
> >> > > > Reason I ask, is I've written some R code which allocates two long
> >&g
, which i can use
| it inside c++ code?
In short, no.
Slightly longer: All Rcpp code is set up to be used _from R_ so by design you
are always in R before you call code containing Rcpp. So just call the R
function set.seed(...) as we work hard to make sure the state is properly set
and passed
nction with attributes in the C++ source code, and then reload the package
> using the devtools function load_all(). This would recompile the source
> code, and update the RcppExports.R and .cpp files as necessary. The new
> exported function would then be immediately available to the curren
> | would have no other option but to go serial if I need to call R an
> function? Do
> | you have any alternative recommendations? I would really love to take
> advantage
> | of RcppParallel/TBB here, as I have heavily exploited RcppParallel to
> | parallelize everything else.
>
Function class are not available without
>> the flag, as I realized this morning.
>>
>> I'll check how to call an R function without arguments in Rcpp if the
>> -std=c++0x flag is not set and commit a fix.
>>
>> 2010/3/15 Katharine Mullen:
>>> FYI
>
) that test didn't
>>>>> show any problems. I'm at a bit of a loss where to go on this.
>>>>
>>>> Perhaps Romain or Dirk could clarify for me when init_Rcpp_cache
>>>> should be called. It appears to be getting called twice, once
>&
On 20 December 2019 at 07:50, Shaami wrote:
| #include
| #include
That is not used as you call the R function.
In short, don't call the R function. I buys you nothing. You were told to
look into using the API from that header. I would do that if I were you.
| using namespace Rcpp;
|
On 26 February 2013 at 21:27, Greg Minshall wrote:
| hi. if i Rcpp.package.skeleton(), i get this single R file,
| anRpackage/R/rcpp_hello_world.R:
|
| rcpp_hello_world <- function(){
| .Call( "rcpp_hello_world", PACKAGE = "anRpackage" )
| }
|
|
|
hi all;
I want to write the density function for the doubly non-central F
distribution using Rcpp. The algorithm (from Paolella's Intermediate
Probability, listing 10.8) computes the weighted sum of the PDF function of
the singly non-central F distribution. This is available in R via df
I am trying to use RcppParallel to do a fast grid search. The idea is to
construct a matrix using R's expand.grid, then for each row of that matrix,
x, call f(x). For simplicity the function f will always return a double.
Since Rcpp can call an R function I was hoping RcppParallel would all
;)["mean"];
| >|return mean(x);
| >| }
| >| with the error "can't convert SEXP to double"
| >| How can i fix it ? Tks.
| >
| >With all due respect:
| >
| > i)you have not motivated why you need mean from R
| >
| > ii) how to call
eing
evaluated, but right now it's the only way to safely execute an R
function in a C++ context while respecting all other active handlers.
In short, the Rcpp::Function implementation is designed to be as safe
+ correct as possible, with the downside being that it's slower.
However, we gener
;
VectorXd IneqT = (theta*Ineq.transpose());
return 0;
}
/*** R
# the following is equivalent to mptmin::R/minimal.cpp
# but shorter and easier; also removed the leading dot
oneSample2 <- function(Sx, Ineq) {
#.Call("determinant2", Sx, Ineq, PACKAGE = "MPTbug")
determina
The function exposeClass() has been added to Rcpp. The idea is to call it to
create C++ and R files in a package source in order to export a C++ class,
given basic information about the class.
The function writes the Module source in C++ and a corresponding call to
setRcppClass in R.
Like
llo_world_Rcpp"
|
| Your package is called "RcppSkeleton", isn't it? If so, that should be
| reflected in your PACKAGE argument in .Call, eg:
|
| .Call("rcpp_hello_world", PACKAGE="RcppSkeleton")
+1
And that is what should have gotten filled in as rcpp_h
Oh, and I missed one call to a subordinate function. So add
// [[Rcpp::export]]
SEXP newCompQuant2(int n, int M, Rcpp::Function f) {
SEXP res = compquantRcpp2(n, M, f);
return res;
}
and at the bottom call it:
res <- newCompQuant2(n=50, M=10^3, f=rnorm)
print(str(res))
and then
ed my interest.
Based on your previous email, I'm guessing you found this?
"Currently in C code ISNAN is a macro calling isnan. (Since this gives
problems on some C++ systems, if the R headers is called from C++ code
a function call is used.) "
http://www.hep.by/gnu/r-patched/r-exts
you have a existing function, it is usually better to keep it as is
and write a simple .Call compatible wrapper that receives the data from
R, call you existing function and transform the results back into R
compatible data.
.Call compatible means:
- the function has C linkage and calling convent
u really want the flexibility of being able to call any R function,
or can you come up with a list of operations you'd do on terminal nodes
of your tree ?
what do you want to do with your dendrograms ?
Romain
Le 26/07/13 17:06, Tal Galili a écrit :
Hello all,
I would like to write an Rc
gt;
The resolution was quite simple. I ended up calling an R wrapper function for
the replacement ns function that had been written in Rcpp. I lost a measurable
amount of performance, but by doing this I believe the R garbage collector was
permitted to do its work.
For the wrapper call in Rcp
nspose());
|
| return 0;
| }
|
| /*** R
|
| # the following is equivalent to mptmin::R/minimal.cpp
| # but shorter and easier; also removed the leading dot
| oneSample2 <- function(Sx, Ineq) {
| #.Call("determinant2", Sx, Ineq, PACKAGE = "MPTbug")
| determinant2(Sx, I
m R and use it in C++.
| Honestly, I've found it easiest to just import sample() from R (in the
| stats namespace). Two things to note:
|
| 1. Performance -- there's a penalty for going back to R, but it's per
| function call. So, you can pull a vector result of sample into an
| inte
ring samfile, int nwrks,
float e_lm, int chunk)
never had any problems with that.
today it started to crash with the above error.
Weirdly, this happens only when I call the R function, like:
NormaliseEdges(g.Edges, file.SAM)
Error: not compatible with requested type
Called from: runNormalisa
e vector for example logpost(par)
Logpost<-function(par) { .......} (in r code).
How can i call teh logpost function into the inline rccp code . In the MHWG
there is a difference f1-f0where fi=logpost(par1) e f0=logpost(par 2)
for exemple.
help me please to impleme
ll line is nearly identical to
>> the call to R operator '%*%'. Two data preparation lines for the .Call
>> method create the overhead:
>>
>> A <- t(A) (~12sec, or 12usec per call)
>> dim(A) <- dim(A)[1] * dim(A)[2] (~4sec, or 4usec per call)
>>
>&g
cpp::export]]
NumericVector rowApply1(NumericMatrix&
x, const Function& FUN)
{
int n = x.nrow();
NumericVector result =
no_init(n);
for (int r = 0; r < n; r++)
{
Language call(FUN, x(r, _))
;
result[r] =
as(call.fast_eval() );
}
return result;
}
// [[Rcpp::export]]
N
e stats package is quite high.
I’d suggest :
- reimplement clean c++ code as Dirk says
- call the R function optimize form C++. Chances are the overhead of doing that
is minimal and anecdotic compared to calling the objective function.
- use something else as Dale says.
> I am now using the approa
clock_limit, int init_pos) {
// function takes in xts_obj_ (an xts object from R) and converts to a
NumericMatrix
Rcpp::NumericMatrix x(xts_obj_);
// Get the index and call v
DatetimeVector v(NumericVector(RObject(xts_obj_).attr("index")));
// The dimensions of rtn_xts are extra
Vector x) {
>| >|Function mean=Environment("package::base")["mean"];
>| >|return mean(x);
>| >| }
>| >| with the error "can't convert SEXP to double"
>| >| How can i fix it ? Tks.
>| >
>| >With all due respect:
>| >
&
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