On Sat, Jun 11, 2016 at 2:53 PM, Ralf Gommers
wrote:
> Hi Mark,
>
> Note that the scipy-dev or scipy-user mailing list would have been more
> appropriate for this question.
>
>
> On Fri, Jun 10, 2016 at 9:06 AM, Mark Gawron wrote:
>
>>
>>
>> The scipy.stats.qqplot and scipy.stats.probplot funct
Ok,
Our messages crossed. I understand now.
Thanks.
Mark
On Jun 11, 2016, at 12:24 PM, josef.p...@gmail.com wrote:
>
>
> On Sat, Jun 11, 2016 at 2:49 PM, Mark Gawron wrote:
> Thanks, Jozef. This is very helpful. And I will direct this
> to one of the other mailing lists, once I read the p
On Sat, Jun 11, 2016 at 2:49 PM, Mark Gawron wrote:
> Thanks, Jozef. This is very helpful. And I will direct this
> to one of the other mailing lists, once I read the previous posts.
>
> Regarding your remark: Maybe Im having a terminology problem. It seems
> to me once you do
>
> osm = dist.
Thanks, Jozef. This is very helpful. And I will direct this
to one of the other mailing lists, once I read the previous posts.
Regarding your remark: Maybe Im having a terminology problem. It seems to me
once you do
>> osm = dist.ppf(osm_uniform)
you’re back in the value space for the parti
On Sat, Jun 11, 2016 at 8:53 AM, Ralf Gommers
wrote:
> Hi Mark,
>
> Note that the scipy-dev or scipy-user mailing list would have been more
> appropriate for this question.
>
>
> On Fri, Jun 10, 2016 at 9:06 AM, Mark Gawron wrote:
>
>>
>>
>> The scipy.stats.qqplot and scipy.stats.probplot funct
Hi Mark,
Note that the scipy-dev or scipy-user mailing list would have been more
appropriate for this question.
On Fri, Jun 10, 2016 at 9:06 AM, Mark Gawron wrote:
>
>
> The scipy.stats.qqplot and scipy.stats.probplot functions plot expected
> values versus actual data values for visualizatio
The scipy.stats.qqplot and scipy.stats.probplot functions plot expected values
versus actual data values for visualization of fit to a distribution. First a
one-D array of expected percentiles is generated for a sample of size N; then
that is passed to dist.ppf, the per cent point function