[Rcpp-devel] Doubt about best pratices

[Roberto Spadim]

Very nice, thanks Dirk and Jeff

Well i think i will accept a RObject and if it's a DataFrame I convert
to Matrix and it continue working

I will benchmark the differences to understand it better.

---

Other two doubt and I think that's all:

1) If dataset is too big (size is bigger than ram) is there a standard
lib to use it, or should i consider that using dataframe/matrix types
will work?
2) I never used GPU in R, I used keras with python, dash and others
python libs that handle bigdata / gpu math. Is there something related
to GPU and RCpp/R? Any standard to consider?

Thanks again!

Em dom., 1 de mai. de 2022 às 03:05, Dirk Eddelbuettel
<edd at debian.org> escreveu:
>
>
> This is not a well-posed Rcpp question as
>
> - matrix and data.frame are _fundamentally_ two different data types
>
> - matrix being _one_ and only one storage type, or class, stored
>   as one vector with dimension attribute of size two for rows and cols;
>   this makes it _efficient_ and you will see a matrix type used quite a bit
>   in internal R functions
>
> - data.frame being a special case of the catch-all type list with each
>   column being of same length but possibly different types -- and for that
>   reason we do not have too much tooling for this 'list of vectors' in Rcpp
>   besides the basics
>
> So in short you may want to work out first what you want you algorithm to be
> and maybe use higher-level converters in R to accomodate.
>
> Dirk
>
> --
> dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org



-- 
Roberto Spadim
SPAEmpresarial - Software ERP/Scada
Eng. Automação e Controle, Eng. Financeira