a) This is the *R-help* mailing list. If you want others to make your
data analyses, there are consultants around ...
b) If you still want help from the list, follow the posting guide and
provide relevant information such as some insight to your data. Not many
of us are clairvoyants and hence most people won't know out of air which
method is best.
Uwe Ligges
minben wrote:
I want to forecaste the call number everyday for a call-center. Now I
have removed the influence of the fluctuation with some method, so
only thing left is to analyze the trend of the call number every day.
I have thought of two ways: regression and HoltWinters smooth. But
when I use regression, I find some day's call number will bcome
negative, which is obviously unreasonabe. If I use HoltWinters
smooth ,I let the gamma parameter equal to 0 because I needn't analyze
the seasonal fact, but the result shows that the increasing trend is
too big. I adjust the parameter alpha and beta ,which makes the result
better,but I don't know if it's right. In this case of situation,which
way is better? Or is there another appropriate method?
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
