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