I think this looks like a question about statistics. I suggest you review the
documentation for the functions you are using and study the references to
better understand the algorithms you are using. If you think the algorithms are
not behaving according to theory and the packages are part of
> On 19 Jul 2017, at 21:34, Eridk Poliruyt wrote:
>
> Hi all,
>
> I am trying to analyse a time series data and want to make
> trend-season decomposition using STL approach in R. However I found
> the decomposition result seems to be sensitive to data points even
> with the
Hi all,
I am trying to analyse a time series data and want to make
trend-season decomposition using STL approach in R. However I found
the decomposition result seems to be sensitive to data points even
with the robust option.
More specifically, suppose I have a few years of monthly data. Using
Hi all,
I am trying to analyse a time series data and want to make trend-season
decomposition using STL approach in R. However I found the decomposition
result seems to be sensitive to data points even with the robust option.
More specifically, suppose I have a few years of monthly data. Using
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