Hello,
please excuse my ignorance as i am new to R and this might seem trivial to
you
How can i scale my time series in a way that 90% of the data is in the
-0.-9/ +0.9 range?
I think i first have to select the 90% closest to the mean and then
calculate my scaling parameter on it, then scale the whole series.
I think i could use outlier() from outliers package to identify the outer
10%, extract them and then do my scaling, but i assume there is a more
elegant /efficient way to do so.
Does anyone have a hint for me?
Thanks in advance,
Warren
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