On 06/25/2010 10:02 AM, phani kishan wrote:
Hey,
I have a data frame x which consists of say 10 vectors. I essentially want
to find out the best fit exponential smoothing for each of the vectors.
The problem while I'm getting results when i say
lapply(x,ets)
I am getting an error when I say
myprint
function(x)
{
for(i in 1:length(x))
{
ets(x[i],model="AZZ",opt.crit=c("amse"))
Hi,
Please provide a reproducible example, as stated in the posting guide.
My guess is that replacing x[i] by x[[i]] would solve the problem.
Double brackets return a vector in stead of a data.frame that has just
column i.
cheers,
Paul
}
}
The error message is that* "Error in ets(x[i], model = "AZZ", opt.crit =
c("amse")) :
y should be a univariate time series"*
Could someone please explain why this is happening? I also want to be able
to extract data like coef's, errors (MAPE,MSE etc.)
Thanks and regards,
Phani
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 253 5773
http://intamap.geo.uu.nl/~paul
http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
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