By the way:
http://www.stata.com/statalist/archive/2005-09/msg00101.html
http://www.stata.com/statalist/archive/2005-09/msg00221.html
ben
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of William Gould, Stata
> Sent: Wednesday, April 05, 2006 4:23 PM
> To: [email protected]
> Subject: Re: st: Mata matrix manipulation: selecting rows
>
> Jesper Kj�r Hansen <[email protected]> is using Mata and wants to
> efficiently select rows or columns of a matrix according to a vector
> containing 1s and 0s.
>
> In the the particular example he cites, he is dropping missing values,
> but he is interested in the general solution as well. The example he
> offers
> is
>
> > : x = (1, ., 0, ., 1, 0)'
> >
> > : (x , x :!= .)
> > 1 2
> > +---------+
> > 1 | 1 1 |
> > 2 | . 0 |
> > 3 | 0 1 |
> > 4 | . 0 |
> > 5 | 1 1 |
> > 6 | 0 1 |
> > +---------+
>
> and he asks,
>
> > what is the most efficient way of getting:
> >
> > 1
> > +-----+
> > 1 | 1 |
> > 2 | 0 |
> > 3 | 1 |
> > 4 | 0 |
> > +-----+
>
> There is no good answer. Mata very much needs a select() function, and we
> will
> commit right now to adding that to Mata. The way the select() function
> will
> work will be
>
> result = select(A, v)
>
> where
>
> A: r1 x c1
> v: r1 x 1 or 1 x c1 containing zero and nonzero.
> result: r2 x c1 or r1 x c2, r2<=r1, c2<=c1
>
> Thus, with select(), Jesper will be able to obtain his desired result
> by coding select(x, x :!=.).
>
> Actually, the problem of excluding rows with missing values occurs so
> often
> that we will also include the function
>
> X = excludemissing(A)
>
> where
>
> A: r1 x c1
> result: r2 x c1, r2<=r1
>
> So what should Jesper do in the meantime?
>
> Jesper should write his own -select()- and -excludemissing()- to these
> specifications. Actually, we have included them below. Jesper's code
> will
> then work, but it will not especially fast.
>
> Later (soon), when we release the built-in select() and excludemissing(),
> Jesper can remove remove his versions and recompile.
>
> -- Bill David
> [email protected] [email protected]
>
>
> The following -select()- and -excludemissing()- functions are *NOT* fast,
> but they match the definition of the official -select()- and -
> excludemissing()-
> functions which will be added to Mata and will be fast.
>
>
> transmorphic matrix select(transmorphic matrix A, real vector v)
> {
> real scalar r1, c1, i1, i2
> transmorphic matrix B
>
> r1 = rows(A)
> c1 = cols(A)
>
> if (cols(v)==1) {
> if (r1 != rows(v)) _error(3200)
> B = J(colsum(v:!=0), cols(A), missingof(A))
> for (i1=i2=1; i1<=r1; i1++) {
> if (v[i1]) B[i2++,.] = A[i1,.]
> }
> }
> else {
> if (c1 != cols(v)) _error(3200)
> B = J(rows(A), rowsum(v:!=0), missingof(A))
> for (i1=i2=1; i1<=c1; i1++) {
> if (v[i1]) B[.,i2++] = A[.,i1]
> }
> }
> return(B)
> }
>
>
> numeric matrix excludemissing(numeric matrix A)
> {
> return(select(A, rowmissing(A):==0))
> }
>
> <end>
> *
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*
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