Re: [Rcpp-devel] Integrals with Rcpp

2015-01-14 Thread Federico Andreis
Thanks a lot, Baptiste!

I'll check your code asap.

Cheers,

/f

On Tue, Jan 13, 2015 at 7:14 PM, Baptiste Auguie 
wrote:

> Hi,
>
> I might be the author of the SO question you refer to. In the planar
> package I've tried a number of different strategies for numerical
> integration, but the most efficient I managed was at the C++ level, with
> direct call to the cubature library,
> https://github.com/baptiste/planar/blob/master/src/gaussian_beam.cpp#L478
>
> At the time, I wrote for myself a minimal example,
> https://github.com/baptiste/cubature/blob/master/minimal.c
>
> HTH,
>
> baptiste
>
> On 9 January 2015 at 11:10, Federico Andreis 
> wrote:
>
>> Dear all,
>>
>> I was wondering what, in your opinion, would be the best way to handle
>> the computation of definite integrals using Rcpp.
>>
>> To be more precise, I need to evaluate a double integral that turns out
>> to be somewhat nasty (really slow computation and presumably inaccurate
>> results using the R cubature package).
>>
>> Should I write the integration algorithm from scratch, or is there any
>> external library you would suggest?
>>
>> I've already found the post on Stackoverflow 'using C function from other
>> package in Rcpp' that dealt with an integration problem as well, but it
>> looked too general for my problem and also, it's one year old, maybe
>> something else has turned up in the meanwhile..
>>
>> Thanks in advance, and congrats for the great work with Rcpp!
>>
>> /federico
>>
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>
>
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Re: [Rcpp-devel] Advice on making interface into existing C++ library

2015-01-14 Thread Dirk Eddelbuettel

On 13 January 2015 at 08:51, Jeffrey Wong wrote:
| Thanks Dirk, would I still create a rcpp skeleton package and dump the *.cpp
| files into src, then just use Rcpp::export? What about all the .h files in 
that
| library?

Yes you need those too, either in the same directory or in one the compiler
is told as about as eg via PKG_CXXFLAGS = -I../../inst/include  as we often
do when export headers for use by other packages.

Rcpp has 321 reverse dependencies on CRAN. That is 321 worked, and working,
examples of how to do this.  Use them to your advantage.

Dirk

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Re: [Rcpp-devel] Integrals with Rcpp

2015-01-14 Thread Dirk Eddelbuettel

On 13 January 2015 at 15:14, Baptiste Auguie wrote:
| Hi,
| 
| I might be the author of the SO question you refer to. In the planar package
| I've tried a number of different strategies for numerical integration, but the
| most efficient I managed was at the C++ level, with direct call to the 
cubature
| library,
| https://github.com/baptiste/planar/blob/master/src/gaussian_beam.cpp#L478
| 
| At the time, I wrote for myself a minimal example, 
https://github.com/baptiste/
| cubature/blob/master/minimal.c

You did just say you were turning this into a piece for the Rcpp Gallery,
didn't you?  ;-)

Dirk

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Re: [Rcpp-devel] Integrals with Rcpp

2015-01-14 Thread Baptiste Auguie
On 14 January 2015 at 10:01, Dirk Eddelbuettel  wrote:

>
> On 13 January 2015 at 15:14, Baptiste Auguie wrote:
> | Hi,
> |
> | I might be the author of the SO question you refer to. In the planar
> package
> | I've tried a number of different strategies for numerical integration,
> but the
> | most efficient I managed was at the C++ level, with direct call to the
> cubature
> | library,
> |
> https://github.com/baptiste/planar/blob/master/src/gaussian_beam.cpp#L478
> |
> | At the time, I wrote for myself a minimal example,
> https://github.com/baptiste/
> | cubature/blob/master/minimal.c
>
> You did just say you were turning this into a piece for the Rcpp Gallery,
> didn't you?  ;-)
>
>
Good point, I'll try to find the time.

b.

Dirk
>
> --
> http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org
>
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Re: [Rcpp-devel] Rcpp modules and S3 dispatch on rbind/cbind

2015-01-14 Thread Louis Aslett
Just for the list record I think I've figured this out.  It turns out
that there is an S4 approach to this now, whereby one actually sets
appropriate methods for the rbind2 and cbind2 functions in the methods
package and then call:


On 12 January 2015 at 13:44, Louis Aslett  wrote:
> I've encountered a problem when trying to perform S3 method dispatch
> for rbind() with an Rcpp module I've written.  Obviously Rcpp modules
> are S4, but as per many Google-able discussions, rbind/cbind can't
> support S4 method dispatch due to the first argument being a
> dot-dot-dot one, so S3 on the first argument type is the best that can
> be done.  I think this is good enough for my problem as my types can't
> be mixed with base types so I've a fairly short list of possible first
> argument types and can disentangle in my own code.
>
> I won't bog the list down with my real problem which is hundreds of
> lines of code ... I've managed to narrow it down to the following
> minimal working example which produces the same issue (description to
> follow below).
>
> == Start content of test.cpp ==
> #include 
> using namespace Rcpp;
>
> class TestClass1 {
>   public:
> TestClass1() {}
> void hello() const {
>   Rcout << "Hello world!" << std::endl;
> }
> };
>
> class TestClass2 {
>   public:
> TestClass2() {}
> void hello() const {
>   Rcout << "Hello world!" << std::endl;
> }
> };
>
> RCPP_MODULE(test_mod) {
>   class_( "TestClass1" )
>   .constructor()
>   .method("hello", &TestClass1::hello)
>   ;
>
>   class_( "TestClass2" )
>   .constructor()
>   .method("hello", &TestClass2::hello)
>   ;
> }
> == End content of test.cpp==
>
> == Start example R script ==
> Rcpp::sourceCpp('test.cpp')
>
> # Define S3 method for the Rcpp class types
> rbind.Rcpp_TestClass1 <- function(...) {
>   args <- list(...)
>   cat("Calling type 1 hello\n")
>   args[[1]]$hello()
> }
> rbind.Rcpp_TestClass2 <- function(...) {
>   args <- list(...)
>   cat("Calling type 2 hello\n")
>   args[[1]]$hello()
> }
>
> a <- new(TestClass1)
> b <- new(TestClass2)
>
> # OK, this goes to plan ... I can has an Rcpp module, many of same
> # type or mix with R types
> rbind(a)
> rbind(a,a)
> rbind(a,2,matrix(1:4,2))
> rbind(b)
> rbind(b,b)
> rbind(b,2,matrix(1:4,2))
>
> # ... but I can't mix two Rcpp module types
> rbind(a,b)
> rbind(b,a)
>
> # Get rid of one of the S3 methods and it works to mix Rcpp module types
> rm(rbind.Rcpp_TestClass2)
> rbind(a,b)
> == End example R script ==
>
> The output for the problem part is:
>
>> # ... but I can't mix two Rcpp module types
>> rbind(a,b)
> Error in rbind(a, b) : environments cannot be coerced to other types
>> rbind(b,a)
> Error in rbind(b, a) : environments cannot be coerced to other types
>
> All other lines in the script behave as expected.
>
> So in a nut shell the problem seems to be that one can't have first
> argument S3 method dispatch defined for more than one Rcpp module type
> at a time.  I am mystified why this should be?  Any insights greatly
> appreciated!
>
> All the best,
>
> Louis
>
>
> PS In case this arrives twice in error I resent from my subscribed address.
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Re: [Rcpp-devel] Rcpp modules and S3 dispatch on rbind/cbind

2015-01-14 Thread Louis Aslett
Sorry hit send prematurely 

Just for the list record I think I've figured this out.  It turns out
that there is an S4 approach to this now, whereby one actually sets
appropriate methods for the rbind2 and cbind2 functions in the methods
package and then call:

methods:::bind_activation(on = TRUE)

This then recursively calls rbind2 and cbind2 with pairs of arguments
whenever the base rbind/cbind are called with S4 arguments matching
the signature.  Of course, it means all the other functions such as
nrow/ncol/rownames/... must be overridden too for the classes used, in
order that the knitting together that the methods package does will
work correctly.  See the rbind.R source file in the methods package
for details.

Hope that helps if anyone encounters this in future,

Louis


On 12 January 2015 at 13:44, Louis Aslett  wrote:
> I've encountered a problem when trying to perform S3 method dispatch
> for rbind() with an Rcpp module I've written.  Obviously Rcpp modules
> are S4, but as per many Google-able discussions, rbind/cbind can't
> support S4 method dispatch due to the first argument being a
> dot-dot-dot one, so S3 on the first argument type is the best that can
> be done.  I think this is good enough for my problem as my types can't
> be mixed with base types so I've a fairly short list of possible first
> argument types and can disentangle in my own code.
>
> I won't bog the list down with my real problem which is hundreds of
> lines of code ... I've managed to narrow it down to the following
> minimal working example which produces the same issue (description to
> follow below).
>
> == Start content of test.cpp ==
> #include 
> using namespace Rcpp;
>
> class TestClass1 {
>   public:
> TestClass1() {}
> void hello() const {
>   Rcout << "Hello world!" << std::endl;
> }
> };
>
> class TestClass2 {
>   public:
> TestClass2() {}
> void hello() const {
>   Rcout << "Hello world!" << std::endl;
> }
> };
>
> RCPP_MODULE(test_mod) {
>   class_( "TestClass1" )
>   .constructor()
>   .method("hello", &TestClass1::hello)
>   ;
>
>   class_( "TestClass2" )
>   .constructor()
>   .method("hello", &TestClass2::hello)
>   ;
> }
> == End content of test.cpp==
>
> == Start example R script ==
> Rcpp::sourceCpp('test.cpp')
>
> # Define S3 method for the Rcpp class types
> rbind.Rcpp_TestClass1 <- function(...) {
>   args <- list(...)
>   cat("Calling type 1 hello\n")
>   args[[1]]$hello()
> }
> rbind.Rcpp_TestClass2 <- function(...) {
>   args <- list(...)
>   cat("Calling type 2 hello\n")
>   args[[1]]$hello()
> }
>
> a <- new(TestClass1)
> b <- new(TestClass2)
>
> # OK, this goes to plan ... I can has an Rcpp module, many of same
> # type or mix with R types
> rbind(a)
> rbind(a,a)
> rbind(a,2,matrix(1:4,2))
> rbind(b)
> rbind(b,b)
> rbind(b,2,matrix(1:4,2))
>
> # ... but I can't mix two Rcpp module types
> rbind(a,b)
> rbind(b,a)
>
> # Get rid of one of the S3 methods and it works to mix Rcpp module types
> rm(rbind.Rcpp_TestClass2)
> rbind(a,b)
> == End example R script ==
>
> The output for the problem part is:
>
>> # ... but I can't mix two Rcpp module types
>> rbind(a,b)
> Error in rbind(a, b) : environments cannot be coerced to other types
>> rbind(b,a)
> Error in rbind(b, a) : environments cannot be coerced to other types
>
> All other lines in the script behave as expected.
>
> So in a nut shell the problem seems to be that one can't have first
> argument S3 method dispatch defined for more than one Rcpp module type
> at a time.  I am mystified why this should be?  Any insights greatly
> appreciated!
>
> All the best,
>
> Louis
>
>
> PS In case this arrives twice in error I resent from my subscribed address.
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Re: [Rcpp-devel] Rcpp modules and S3 dispatch on rbind/cbind

2015-01-14 Thread Dirk Eddelbuettel

On 14 January 2015 at 15:00, Louis Aslett wrote:
| Sorry hit send prematurely 
| 
| Just for the list record I think I've figured this out.  It turns out
| that there is an S4 approach to this now, whereby one actually sets

Sweet, and well done. 

I had meant to reply and suggest something like that -- Modules, after all,
are "just" extensions of S4 and don;t add anything to R proper (as they can't
go there anyway).  But I do so little S4 that my usual approach is to hide my
head in the sand til Martin Morgan comes along and explains it :)

| appropriate methods for the rbind2 and cbind2 functions in the methods
| package and then call:
| 
| methods:::bind_activation(on = TRUE)
| 
| This then recursively calls rbind2 and cbind2 with pairs of arguments
| whenever the base rbind/cbind are called with S4 arguments matching
| the signature.  Of course, it means all the other functions such as
| nrow/ncol/rownames/... must be overridden too for the classes used, in
| order that the knitting together that the methods package does will
| work correctly.  See the rbind.R source file in the methods package
| for details.
| 
| Hope that helps if anyone encounters this in future,

I think you also just volunteered a little demo for the Rcpp Gallery :)

[ Only half joking.  We seem to have a buglet at the knitr / jekyll side of
things as this works via sourceCpp but not in the default Rcpp Gallery
setup. ]

Dirk

 
| Louis
| 
| 
| On 12 January 2015 at 13:44, Louis Aslett  wrote:
| > I've encountered a problem when trying to perform S3 method dispatch
| > for rbind() with an Rcpp module I've written.  Obviously Rcpp modules
| > are S4, but as per many Google-able discussions, rbind/cbind can't
| > support S4 method dispatch due to the first argument being a
| > dot-dot-dot one, so S3 on the first argument type is the best that can
| > be done.  I think this is good enough for my problem as my types can't
| > be mixed with base types so I've a fairly short list of possible first
| > argument types and can disentangle in my own code.
| >
| > I won't bog the list down with my real problem which is hundreds of
| > lines of code ... I've managed to narrow it down to the following
| > minimal working example which produces the same issue (description to
| > follow below).
| >
| > == Start content of test.cpp ==
| > #include 
| > using namespace Rcpp;
| >
| > class TestClass1 {
| >   public:
| > TestClass1() {}
| > void hello() const {
| >   Rcout << "Hello world!" << std::endl;
| > }
| > };
| >
| > class TestClass2 {
| >   public:
| > TestClass2() {}
| > void hello() const {
| >   Rcout << "Hello world!" << std::endl;
| > }
| > };
| >
| > RCPP_MODULE(test_mod) {
| >   class_( "TestClass1" )
| >   .constructor()
| >   .method("hello", &TestClass1::hello)
| >   ;
| >
| >   class_( "TestClass2" )
| >   .constructor()
| >   .method("hello", &TestClass2::hello)
| >   ;
| > }
| > == End content of test.cpp==
| >
| > == Start example R script ==
| > Rcpp::sourceCpp('test.cpp')
| >
| > # Define S3 method for the Rcpp class types
| > rbind.Rcpp_TestClass1 <- function(...) {
| >   args <- list(...)
| >   cat("Calling type 1 hello\n")
| >   args[[1]]$hello()
| > }
| > rbind.Rcpp_TestClass2 <- function(...) {
| >   args <- list(...)
| >   cat("Calling type 2 hello\n")
| >   args[[1]]$hello()
| > }
| >
| > a <- new(TestClass1)
| > b <- new(TestClass2)
| >
| > # OK, this goes to plan ... I can has an Rcpp module, many of same
| > # type or mix with R types
| > rbind(a)
| > rbind(a,a)
| > rbind(a,2,matrix(1:4,2))
| > rbind(b)
| > rbind(b,b)
| > rbind(b,2,matrix(1:4,2))
| >
| > # ... but I can't mix two Rcpp module types
| > rbind(a,b)
| > rbind(b,a)
| >
| > # Get rid of one of the S3 methods and it works to mix Rcpp module types
| > rm(rbind.Rcpp_TestClass2)
| > rbind(a,b)
| > == End example R script ==
| >
| > The output for the problem part is:
| >
| >> # ... but I can't mix two Rcpp module types
| >> rbind(a,b)
| > Error in rbind(a, b) : environments cannot be coerced to other types
| >> rbind(b,a)
| > Error in rbind(b, a) : environments cannot be coerced to other types
| >
| > All other lines in the script behave as expected.
| >
| > So in a nut shell the problem seems to be that one can't have first
| > argument S3 method dispatch defined for more than one Rcpp module type
| > at a time.  I am mystified why this should be?  Any insights greatly
| > appreciated!
| >
| > All the best,
| >
| > Louis
| >
| >
| > PS In case this arrives twice in error I resent from my subscribed address.
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