# [Rd] qcauchy accuracy (PR#7902)

maechler at stat.math.ethz.ch maechler at stat.math.ethz.ch
Wed Jun 1 08:57:18 CEST 2005

```>>>>> "Morten" == Morten Welinder <mwelinder at gmail.com>
>>>>>     on Fri, 27 May 2005 20:24:36 +0200 (CEST) writes:

Morten> Full_Name: Morten Welinder Version: 2.1.0 OS: src
Morten> only Submission from: (NULL) (216.223.241.212)

Morten> Now that pcauchy has been fixed, it is becoming
Morten> clear that qcauchy suffers from the same problems.

Morten>
Morten> qcauchy(pcauchy(1e100,0,1,FALSE,TRUE),0,1,FALSE,TRUE)

Morten> should yield 1e100 back, but I get 1.633178e+16.
Morten> The code below does much better.  Notes:

Morten> 1. p need not be finite.  -Inf is ok in the log_p
Morten> case and R_Q_P01_check already checks things.

yes

Morten> 2. No need to disallow scale=0 and infinite
Morten> location.

yes

Morten> 3. The code below uses isnan and finite directly.
Morten> It needs to be adapted to the R way of doing that.

I've done this, and started testing the new code; a version will
be put into the next version of R.

Thank you for the suggestions.

>> double
>> qcauchy (double p, double location, double scale, int lower_tail, int log_p)
>> {
>>   if (isnan(p) || isnan(location) || isnan(scale))
>>     return p + location + scale;

>>   R_Q_P01_check(p);
>>   if (scale < 0 || !finite(scale)) ML_ERR_return_NAN;

>>   if (log_p) {
>>     if (p > -1)
>>        lower_tail = !lower_tail, p = -expm1 (p);
>>     else
>>        p = exp (p);
>>   }
>>   if (lower_tail) scale = -scale;
>>   return location + scale / tan(M_PI * p);
>> }

```

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