[R] R-hts

[Jeff Newmiller]

Sorry Jérémie, I mis-read who the OP was. Deva needs to get the ball rolling. 

I would say that for a hierarchical analysis the sample data generally needs to be larger than for other types of analysis to illustrate correlation between classification variables or the example calculation will break. That is, 10 rows will likely be insufficient for a dry run. 

-- 
Sent from my phone. Please excuse my brevity.

On January 10, 2018 2:02:29 PM PST, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
>You are the one with data. Supply what you have (or a simulated version
>of same, hence the reading recommendation) using dput, and someone may
>suggest how to transform it. In most cases a simple tabular format
>(data frame) is sufficient. 
>-- 
>Sent from my phone. Please excuse my brevity.
>
>On January 10, 2018 12:20:47 PM PST, "Jérémie Juste"
><jeremiejuste at gmail.com> wrote:
>>Hello,
>>
>>It's difficult to help without a sample of the format. Can you provide
>>a
>>short sample like 10 lines and a few columns.?
>>
>>Best regards,
>>Jeremie
>>
>>
>>On Wed, Jan 10, 2018 at 6:12 PM, John Kane via R-help
>><r-help at r-project.org>
>>wrote:
>>
>>> Have a look at
>>http://stackoverflow.com/questions/5963269/how-to-make-
>>> a-great-r-reproducible-example
>>> and
>>> http://adv-r.had.co.nz/Reproducibility.html
>>>
>>>
>>>
>>>
>>>     On Wednesday, January 10, 2018, 11:51:22 AM EST, deva d <
>>> devazresearch at gmail.com> wrote:
>>>
>>>  dear all,
>>>
>>> i need some help in structuring my data file for a hierarchical time
>>series
>>> analysis.
>>>
>>> can someone help please ?
>>>
>>> i have a 600 row database in the nature of a panel data, with 3 time
>>series
>>> values of interest. the data also has 4 classificatory variables
>>comprising
>>> a code for each entity in the panel, a value for time (year), and
>>> classification of type of entity and a further sub-group of the
>type.
>>>
>>> i am unable to structure the data file for performing the hts
>>analysis.
>>>
>>> thanks in advance.
>>>
>>> *....*
>>>
>>> *Deva*
>>>
>>>
>>> ...............
>>>
>>>
>>>
>>> *in search of knowledge, everyday something is added ....*
>>>
>>> *in search of wisdom, everyday something is dropped  ... an old
>>Chinese
>>> Proverb*
>>> :::::::::::::::::::::::::
>>>
>>>     [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide http://www.R-project.org/
>>> posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>         [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide http://www.R-project.org/
>>> posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>>
>>-- 
>>Jérémie Juste
>>
>>	[[alternative HTML version deleted]]
>>
>>______________________________________________
>>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>and provide commented, minimal, self-contained, reproducible code.
>
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.