Le 19/03/2018 à 17:21, akshay kulkarni a écrit :
dear sir,

                I am using R to model stock prices but a slow "for" loop has 
stifled my research.


I am using Rcpp to speed up my "for" loop. I am also using RcppEigen to 
implement block operations on xts objects.....


how do I use RcppEigen? If I just load it by:

 > require(RcppEigen)

it is not recognising the .block method in C++.

If I include it inside the cppFunction:

 > cppFunction(' include  <RcppEigen.h>  .....body')

I get the following error:

 > error: "include doesn't name a type"


My question is : how do I manipulate the installed RcppEigen package for the cppFunction to recognize block operations that are part of the Eigen library in C++? If I have to use the "include" key word (something like this: include <RcppEigen.h> ), where exactly should i position it in order to work with cppFunction ( I want to use Eigen block operation methods or functions inside the body of the cppFunction)?
It looks like you have missed some starter texts.
Take a look at
https://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-introduction.pdf
and http://gallery.rcpp.org/articles/eigen-eigenvalues/
Note that in all examples there is "#" before "include", it's not optional.
May be some introduction texts to C++ would be useful too.

Best,
Serguei.



very many thanks for your time and effort.....


yours sincerely,

AKSHAY M KULKARNI




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