Skip to content

[Rcpp-devel] Doubt about best pratices

2 messages · Dirk Eddelbuettel, Roberto Spadim

Original
Dirk Eddelbuettel
# 
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
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: