[Rcpp-devel] Push back to a matrix

[Noah Silverman]

Nice,

But, how can I copy to the Rcpp::NumericMatrix column?

This fails:
std::vector<double> data1;
// do stuff to populate data1

Rcpp::NumericMatrix output(data1.size(), 6);
std::copy(data1.begin(), data1.end(), output(_,0) );


I'm probably referencing the matrix column incorrectly, but can't find any documentation for Rcpp on how to do this correctly.

--
Noah Silverman
UCLA Department of Statistics
8117 Math Sciences Building #8208
Los Angeles, CA 90095

On Sep 5, 2011, at 9:46 AM, Douglas Bates wrote:

> On Mon, Sep 5, 2011 at 11:31 AM, Noah Silverman <noahsilverman at ucla.edu> wrote:
>> Hi,
>> Using Rcpp through inline.
>> I want to return a matrix, but I don't know the size beforehand.  (My code
>> loops through a large data set accumulating certain statistics.)
>> With a NumericVector, I can use push_back() to just add values to the end of
>> the vector as they occur.  Is there similar functionality for a
>> NumericMatrix?
>> Alternately, I could store all my generated statistics in several vectors
>> (6-7) and then, when complete with my loop, glue them together into a
>> matrix.  But, this seems inefficient.
> 
> Not really.  The inefficient method is using push_back() on an Rcpp
> object because it requires copying the existing vector to new storage
> every time you add an element.
> 
> My suggestion is to use std::vector<double> objects to accumulate the
> results, then allocate the Rcpp::NumericMatrix and copy the results
> into columns of that matrix.  Because the matrix will be in
> column-major ordering you can do the copying using std::copy which is
> reasonably efficient and less error prone than other methods.
> However, this suggestion, like all other cases of determining
> efficient ways to perform a calculation, should be benchmarked against
> other methods.
> 
>> Here is a rough example of what I'm trying to do.
>> ------------------------------
>> int n = inputData.size();
>> Rcpp::NumericMatrix output;
>> for(int i=0; i != n; i++){
>> // generate some stats with a lot of code not shown
>> foo = mean(stuff);
>> bar = min(stuff);
>> baz = max(stuff);
>> // etc...
>> output.push_back(foo, bar, baz);
>> )
>> return output;
>> -------------------------------
>> 
>> --
>> Noah Silverman
>> UCLA Department of Statistics
>> 8117 Math Sciences Building #8208
>> Los Angeles, CA 90095
>> 
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