[Rd] Ancient C /Fortran code linpack error

Göran Broström goran.brostrom at umu.se
Fri Feb 10 18:54:20 CET 2017


Thanks Berend, I will make that change and submit to CRAN.

Best, Göran

On 2017-02-10 16:13, Berend Hasselman wrote:

>
>> On 10 Feb 2017, at 14:53, Göran Broström <goran.brostrom at umu.se> wrote:
>>
>> Thanks to all who answered my third question. I learned something, but:
>>
>> On 2017-02-09 17:44, Martin Maechler wrote:
>>>
>>>>> On 9 Feb 2017, at 16:00, Göran Broström <goran.brostrom at umu.se> wrote:
>>>>>
>>>>> In my package 'glmmML' I'm using old C code and linpack in the optimizing procedure. Specifically, one part of the code looks like this:
>>>>>
>>>>>   F77_CALL(dpoco)(*hessian, &bdim, &bdim, &rcond, work, info);
>>>>>   if (*info == 0){
>>>>>       F77_CALL(dpodi)(*hessian, &bdim, &bdim, det, &job);
>>>>>       ........
>>>>>
>>>>> This usually works OK, but with an ill-conditioned data set (from a user of glmmML) it happened that the hessian was all nan. However, dpoco returned *info = 0 (no error!) and then the call to dpodi hanged R!
>>>>>
>>>>> I googled for C and nan and found a work-around: Change 'if ...' to
>>>>>
>>>>>  if (*info == 0 & (hessian[0][0] == hessian[0][0])){
>>>>>
>>>>> which works as a test of hessian[0][0] (not) being NaN.
>>>>>
>>>>> I'm using the .C interface for calling C code.
>>>>>
>>>>> Any thoughts on how to best handle the situation? Is this a bug in dpoco? Is there a simple way to test for any NaNs in a vector?
>>>
>>>> You should/could use macro R_FINITE to test each entry of the hessian.
>>>> In package nleqslv I test for a "correct" jacobian like this in file nleqslv.c in function fcnjac:
>>>
>>>>    for (j = 0; j < *n; j++)
>>>>        for (i = 0; i < *n; i++) {
>>>>            if( !R_FINITE(REAL(sexp_fjac)[(*n)*j + i]) )
>>>>                error("non-finite value(s) returned by jacobian (row=%d,col=%d)",i+1,j+1);
>>>>            rjac[(*ldr)*j + i] = REAL(sexp_fjac)[(*n)*j + i];
>>>>        }
>>>
>>> A minor hint  on that:  While REAL(.)  (or INTEGER(.) ...)  is really cheap in
>>> the R sources themselves, that is not the case in package code.
>>>
>>> Hence, not only nicer to read but even faster is
>>>
>>>  double *fj = REAL(sexp_fjac);
>>>  for (j = 0; j < *n; j++)
>>>    for (i = 0; i < *n; i++) {
>>>        if( !R_FINITE(fj[(*n)*j + i]) )
>>>           error("non-finite value(s) returned by jacobian (row=%d,col=%d)",i+1,j+1);
>>>           rjac[(*ldr)*j + i] = fj[(*n)*j + i];
>>>     }
>>>
>> [...]
>>
>> isn't this even easier to read (and correct?):
>>
>>    for (j = 0; j < n*; j++)
>>         for (i = 0; i < n*; i++){
>>              if ( !R_FINITE(hessian[i][j]) ) error("blah...")
>>         }
>>
>> ? In .C land, that is. (And sure, I'm afraid of ±Inf in this context.)
>>
>
> Only if you have lda and n equal (which you indeed have; but still worth mentioning) when calling dpoco.
>
> Berend
>



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