Good point. I suppose you do slicing along axes.
— John
On Oct 9, 2014, at 7:29 PM, Stefan Karpinski <stefan.karpin...@gmail.com> wrote:
> Well, I might argue that the slices are along the axes rather than them being
> the same thing.
>
>
>> On Oct 9, 2014, at 10:05 PM, John Myles White <johnmyleswh...@gmail.com>
>> wrote:
>>
>> I’d suggest slices for consistency with the function mapslices.
>>
>> — John
>>
>>> On Oct 9, 2014, at 6:15 PM, Tim Holy <tim.h...@gmail.com> wrote:
>>>
>>> Would be great to have it clarified in the manual.
>>>
>>> I think I've brought this up before, and if there was a consensus I don't
>>> recall it. In my opinion, the various usages of "dims" and "region" in the
>>> manual and help are pretty confusing. It would be nice to standardize
>>> terminology. I confess to being fond of talking about the "axes" of an
>>> array,
>>> but I am fine with other choices too.
>>>
>>> --Tim
>>>
>>>> On Friday, October 10, 2014 07:29:06 AM K Leo wrote:
>>>> Thanks to both for explanations. "along dimensions in region" sounds
>>>> pretty confusing to me. Can that be stated more clearly? Pardon my
>>>> English.
>>>>
>>>> I guess this is what I wanted.
>>>>
>>>> julia> [std(A[i:i+9]) for i=1:length(A)-9]
>>>> 91-element Array{Any,1}:
>>>> 0.395761
>>>> 0.391694
>>>> 0.392545
>>>> 0.363307
>>> 0.392545
>>>> ⋮
>>>> 0.322292
>>>> 0.325662
>>>> 0.345799
>>>>
>>>>> On 2014年10月10日 07:17, Simon Kornblith wrote:
>>>>> Or alternatively:
>>>>>
>>>>>
>>>>> std(reshape(A,10,div(length(A),10)),1)
>>>>>
>>>>>
>>>>> Simon
>>>>>
>>>>> On Thursday, October 9, 2014 7:10:11 PM UTC-4, Patrick O'Leary wrote:
>>>>> "optionally *along dimensions in region*" (emphasis mine). You are
>>>>> attempting to read along the tenth dimension of the array.
>>>>>
>>>>> You're trying to split the array into groups of ten elements, it
>>>>> sounds like.
>>>>>
>>>>> [std(A[10(n-1)+1:10n]) for n in 1:length(A)./10]
>>>>>
>>>>> On Thursday, October 9, 2014 5:56:01 PM UTC-5, K leo wrote:
>>>>> I am hoping to get the std's of every 10 consecutive elements
>>>>> in A.
>>>>>
>>>>> std(v[, region])
>>>>> Compute the sample standard deviation of a vector or array v,
>>>>> optionally
>>>>> along dimensions in region. The algorithm returns an estimator
>>>>> of the
>>>>> generative distribution’s standard deviation under the
>>>>> assumption that
>>>>> each entry of v is an IID drawn from that generative
>>>>> distribution. This
>>>>> computation is equivalent to calculating sqrt(sum((v -
>>>>> mean(v)).^2) /
>>>>> (length(v) - 1)). Note: Julia does not ignore NaN values in the
>>>>> computation. For applications requiring the handling of
>>>>> missing data,
>>>>> the DataArray package is recommended.
>>>>>
>>>>>> On 2014年10月10日 06:49, Patrick O'Leary wrote:
>>>>>> On Thursday, October 9, 2014 5:42:40 PM UTC-5, K leo wrote:
>>>>>> julia> std(A, 10)
>>>>>>
>>>>>> A only has elements along the first dimension. What behavior
>>>>>
>>>>> do you
>>>>>
>>>>>> expect here?
>>
