On Sun, Jun 7, 2009 at 6:05 AM, David Cournapeau
wrote:
> (Please do not send twice your message to numpy/scipy ML, thank you)
>
> wierob wrote:
>> Hi,
>>
>> int64 and float seem to work for the stderr calculation. Now, the
>> calculation of the p-value causes an underflow.
>>
>> File "C:\Python26
(Please do not send twice your message to numpy/scipy ML, thank you)
wierob wrote:
> Hi,
>
> int64 and float seem to work for the stderr calculation. Now, the
> calculation of the p-value causes an underflow.
>
> File "C:\Python26\lib\site-packages\scipy\stats\distributions.py", line
> 2829,in _
Hi,
int64 and float seem to work for the stderr calculation. Now, the
calculation of the p-value causes an underflow.
File "C:\Python26\lib\site-packages\scipy\stats\distributions.py", line 2829,in
_cdf
return special.stdtr(df, x)
FloatingPointError: underflow encountered in stdtr
It seems
On Thu, Jun 4, 2009 at 8:19 AM, wierob wrote:
> Hi,
>
> is there a BigInteger equivalent in numpy? The largest integer type I
> wound was dtype int64.
>
> I'm using stats.linregress to perform a regression analysis. The return
> stderr was nan because stas.ss(...) returned a negative number due to
Hi,
is there a BigInteger equivalent in numpy? The largest integer type I
wound was dtype int64.
I'm using stats.linregress to perform a regression analysis. The return
stderr was nan because stas.ss(...) returned a negative number due to an
overflow. Setting dtype to int64 for my input data s
