[RsR] Time-series outlier problem
Ajay Shah
@j@y@h@h @end|ng |rom m@y|n@org
Fri Jun 11 11:56:16 CEST 2021
We've been using forecast::tsoutliers. In many situations it's nice, but I
have a MWE where it seems to get confused:
library(forecast)
x <- sin(seq(0,6.28,0.01)) # There's no noise
tsoutliers(ts(x)) # nothing is amiss.
x[4] <- 2
tsoutliers(ts(x)) ## Weird
x[4] <- 100
tsoutliers(ts(x)) ## Weird
It shows a lot of outliers and offers bizarre replacements.
We are working with time-series of about N=100 with gentle time series
structure. Do folks here have suggestions on how best to handle outlier
detection and correction for this?
--
Ajay Shah
ajayshah using mayin.org
http://www.mayin.org/ajayshah
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