On Oct 3, 2013, at 8:32 AM, Daniel Hickman wrote:
> Hello,
>
>
>
> I have been tasked with taking an excel file that my colleague had
> implemented Triple Exponential Smoothing and recreate using R.
>
> The following image shows the before and after of smoothing out a fixed
> interval time series data using Triple Exponential Smoothing inside of Excel.
>
> enter image description here
The image file formats that I know are acceptable are .ps, .pdf or .png. Not
sure about jpeg.
>
> I am trying to perform the same triple exponential smoothing in R. I created
> a csv file with the before smoothing data. The csv file is attached and can
> also be found here.
Need to send with .txt extension.
>
> I found the HoltWinters method but I keep getting an error when I try to
> apply HoltWinters against the csv.
> setwd("C:/temp")
> data <- read.table("TripleExpSmoothingXLS.csv", header=TRUE, sep=",")
> ts <- ts(data$QtyPerWeek, frequency=52)
> HoltWinters(ts,0.46924,0.05,0.2)
>
> This results in the following error. "Error in decompose(ts(x[1L:wind], start
> = start(x), frequency = f), seasonal) : time series has no or less than 2
> periods"
Perhaps a data entry problem. We would need to see either the file or output of
str(data).
>
> In case it helps, excel file with the triple exponential smoothing formulas
> and original data can be found here.
Again.... there is no here here.
>
> Any advice?
>
> Thanks, Dan______________________________________________
> R-help@r-project.org mailing list
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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.
David Winsemius
Alameda, CA, USA
______________________________________________
R-help@r-project.org mailing list
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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.
