On Fri, Mar 7, 2014 at 12:06 AM, wrote:
> On Thu, Mar 6, 2014 at 2:51 PM, Nathaniel Smith wrote:
>> On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
>> wrote:
>>>
>>> Hi all,
>>>
>>> in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
>>> suggested adding new parameters to our `cov
On Thu, Mar 6, 2014 at 2:51 PM, Nathaniel Smith wrote:
> On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
> wrote:
>>
>> Hi all,
>>
>> in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
>> suggested adding new parameters to our `cov` and `corrcoef` functions to
>> implement weights,
On Thu, Mar 6, 2014 at 8:38 PM, Sturla Molden wrote:
> Sebastian Berg wrote:
>
>> I am right now a bit unsure about whether or not the "weights" would be
>> "aweights" or different... R seems to not care about the scale of the
>> weights which seems a bit odd to me for an unbiased estimator? I al
Sturla Molden wrote:
> wrote:
>
>> The only question IMO is which ddof for weighted std, ...
>
> Something like this?
>
> sum_weights - (ddof/float(n))*sum_weights
Please ignore.
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Sebastian Berg wrote:
> I am right now a bit unsure about whether or not the "weights" would be
> "aweights" or different... R seems to not care about the scale of the
> weights which seems a bit odd to me for an unbiased estimator? I always
> assumed that we can do the statistics behind using th
dsmith wrote:
> >> >
> >> >
> >> >
> >> > Date: Wed, 05 Mar 2014 17:45:47 +0100
> >> > From: Sebastian Berg
> >> > Subject: [Numpy-discussion] Adding weights to cov and corrcoef
> >> > To: n
On Do, 2014-03-06 at 19:51 +, Nathaniel Smith wrote:
> On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
> wrote:
> >
> > Hi all,
> >
> > in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
> > suggested adding new parameters to our `cov` and `corrcoef` functions to
> > implement w
wrote:
> The only question IMO is which ddof for weighted std, ...
Something like this?
sum_weights - (ddof/float(n))*sum_weights
Sturla
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7 +0100
>> > From: Sebastian Berg
>> > Subject: [Numpy-discussion] Adding weights to cov and corrcoef
>> > To: numpy-discussion@scipy.org
>> > Message-ID: <1394037947.21356.20.camel@sebastian-t440>
>> > Conten
On Thu, Mar 6, 2014 at 1:40 PM, Sebastian Berg
wrote:
> On Mi, 2014-03-05 at 10:21 -0800, David Goldsmith wrote:
> >
> >
> >
> > Date: Wed, 05 Mar 2014 17:45:47 +0100
> > From: Sebastian Berg
> > Subject: [Numpy-discussion] Adding weights to
On Thu, Mar 6, 2014 at 2:51 PM, Nathaniel Smith wrote:
> On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
> wrote:
>>
>> Hi all,
>>
>> in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
>> suggested adding new parameters to our `cov` and `corrcoef` functions to
>> implement weights,
On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
wrote:
>
> Hi all,
>
> in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
> suggested adding new parameters to our `cov` and `corrcoef` functions to
> implement weights, which already exists for `average` (the PR still
> needs to be ad
Date: Thu, 06 Mar 2014 13:40:40 +0100
> From: Sebastian Berg
> Subject: Re: [Numpy-discussion] Adding weights to cov and corrcoef
> (Sebastian Berg)
> To: numpy-discussion@scipy.org
> Message-ID: <1394109640.9122.13.camel@sebastian-t440>
> Content-Type: text/plain
On Mi, 2014-03-05 at 10:21 -0800, David Goldsmith wrote:
>
>
>
> Date: Wed, 05 Mar 2014 17:45:47 +0100
> From: Sebastian Berg
> Subject: [Numpy-discussion] Adding weights to cov and corrcoef
> To: numpy-discussion@scipy.org
> Message-
Date: Wed, 05 Mar 2014 17:45:47 +0100
> From: Sebastian Berg
> Subject: [Numpy-discussion] Adding weights to cov and corrcoef
> To: numpy-discussion@scipy.org
> Message-ID: <1394037947.21356.20.camel@sebastian-t440>
> Content-Type: text/plain; charset="UTF-8"
Hi all,
in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
suggested adding new parameters to our `cov` and `corrcoef` functions to
implement weights, which already exists for `average` (the PR still
needs to be adapted).
The idea right now would be to add a `weights` and a `frequ
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