Quantify the smoothness of a vector
Quantify the smoothness of a vector
smoothness(x, method = "cor", lag = 1, iterations = NULL, ...)
x |
Numeric vector (similar to a time series). |
method |
Can be "diff" (the standard deviation of the standardized differences) or "cor" (default, lag-one autocorrelation). |
lag |
An integer indicating which lag to use. If less than 1, will be interpreted as expressed in percentage of the length of the vector. |
iterations |
The number of bootstrap replicates for computing standard
errors. If |
... |
Arguments passed to or from other methods. |
Value of smoothness.
https://stats.stackexchange.com/questions/24607/how-to-measure-smoothness-of-a-time-series-in-r
x <- (-10:10)^3 + rnorm(21, 0, 100) plot(x) smoothness(x, method = "cor") smoothness(x, method = "diff")
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