Hey!

On Tue, Jun 22, 2010 at 8:11 PM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> On Jun 22, 2010, at 10:32 AM, Henrique Dallazuanna wrote:
>
>  Try this:
>>
>> lapply(DF, auto.arima)
>>
>  I am getting the following error:
"Error in if (PVAL == min(tablep)) warning("p-value smaller than printed
p-value") else warning("p-value greater than printed p-value") :
  missing value where TRUE/FALSE needed"

My objective is to come up with an exponential smoothing model which best
fits all the time-series. Simple operations like mean etc. can be applied
using lapply but not statistical functions.
Is it necessary that I write a function myself? If so, how do I loop though
the columns in the dataframe?
Thanks a lot
Phani

>
> I cannot comment on the relative merits of auto.arima or the forecast
> function, but I did notice that earlier today that Gabor Grothendieck (who,
> I suspect, could comment knowledgeably) mentioned the latter's use in a
> similar context:
>

> https://stat.ethz.ch/pipermail/r-help/2010-June/243252.html
>
>
>> On Tue, Jun 22, 2010 at 11:26 AM, phani kishan <phanikishan@gmail.com
>> >wrote:
>>
>>  Hey,
>>> I have a list of 30 odd time-series (products) in columns of a
>>> data-frame.
>>> I want to apply time-series forecasting functions across all the columns
>>> of
>>> the data-frame in order to determine which is the best model to use.
>>> How do I go about this?
>>>
>>> Phani
>>>
>>
>>  --
>
> David Winsemius, MD
> West Hartford, CT
>
>


-- 
A. Phani Kishan
3rd Year B.Tech
Dept. of Computer Science & Engineering
IIT MADRAS
Ph: +919962363545

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