lumpiness.Rd
Computes feature of a time series based on tiled (non-overlapping) windows. Means or variances are produced for all tiled windows. Then stability is the variance of the means, while lumpiness is the variance of the variances.
lumpiness(x, width = ifelse(frequency(x) > 1, frequency(x), 10)) stability(x, width = ifelse(frequency(x) > 1, frequency(x), 10))
x | a univariate time series |
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width | size of sliding window |
A numeric vector of length 2 containing a measure of lumpiness and a measure of stability.