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# Re: st: precision problems with Mata? naaaahh...

 From Nicola Orsini To statalist@hsphsun2.harvard.edu Subject Re: st: precision problems with Mata? naaaahh... Date Wed, 17 Aug 2005 17:54:02 +0200

```Hi Kit,

to get the lower triangle -help mf_lowertriangle-

mata:
void function runsum(string scalar vname)
{
real matrix L
real matrix runsum
real scalar resindex
real scalar vnew
vnew = vname+"_sum"
st_view(A,.,vname)

L=lowertriangle(J(rows(A),rows(A),1))

runsum = L*A
resindex = st_addvar("double",vnew)
st_store((1,rows(runsum)),resindex,runsum)
}
end

Nicola

Kit Baum wrote:
```
Here's a Mata solution (no doubt hideously inefficient, but I can't find all the fns. I'm looking for) that appears to be just as precise as a -generate, sum- at doing a running sum. It could readily operate on a column vector instead of a Stata variable if that is desired.

Note that a running sum can be calculated by premultiplying by a square matrix with 1's in the lower triangle, 0's above...

clear
set obs 1000
g double x = (uniform()-0.5)*10^(int(_n/10))
g sort = uniform()
sort sort
drop sort
g double sum = sum(x)

mata:
void function runsum(string scalar vname)
{
real matrix L
real matrix runsum
real scalar resindex
real scalar vnew
vnew = vname+"_sum"
st_view(A,.,vname)
// if(cols(A)>1) A=A'
L = J(rows(A),rows(A),0)
for (i=1; i<=rows(A); i++) {
for(j=1; j<=i; j++) {
L[i,j] = 1
}
}
runsum = L*A
resindex = st_addvar("double",vnew)
st_store((1,rows(runsum)),resindex,runsum)
}
end

mata runsum("x")
g double discrep = sum - x_sum
su
l, sep(0)

Kit Baum, Boston College Economics
http://ideas.repec.org/e/pba1.html

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