R help - Aug 2010 - lmomRFA-package: regsimq()

Hi List!
I?m using regsimq() from the ?lmomRFA?-package to calculate error bounds for
diverse distributions. For example:

regsimq(gumfit$qfunc, nrec = lmom.data$n, f = lcdfgum, boundprob = c(0.025,
0.975))

Several times I got this error massage:

Fehler in quantile.default(ou, probs = boundprob, type = 6) :   
missing values and NaN's not allowed if 'na.rm' is FALSE

So my question is, can I change 'na.rm' = FALSE into 'na.rm' =
TRUE? And how can I go so?
Thank you for your help,
Tonja
___________________________________________________________

nur 19,99 ?/mtl.!* http://web.de/DSL-Doppel-Flatrate/

On 2010-08-16 03:49, Tonja Krueger wrote:
> Hi List!
> I?m using regsimq() from the ?lmomRFA?-package to calculate error bounds
for diverse distributions. For example:
>
> regsimq(gumfit$qfunc, nrec = lmom.data$n, f = lcdfgum, boundprob = c(0.025,
0.975))
>
> Several times I got this error massage:
>
> Fehler in quantile.default(ou, probs = boundprob, type = 6) :
> missing values and NaN's not allowed if 'na.rm' is FALSE
>
> So my question is, can I change 'na.rm' = FALSE into
'na.rm' = TRUE? And how can I go so?
> Thank you for your help,
> Tonja
It looks as though some earlier calculation within regsimq() has
produced an unexpected NA value.  The function is not designed to cope
with this eventuality, so I do not recommend simply using na.rm=TRUE.

You have not given enough information to diagnose the cause of the
problem, but if you provide a minimal, self-contained, reproducible
example I will see what I can do.


J. R. M. Hosking
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