This function use the "old-fashioned" way to compute the
autocorrelations for a given time series, i.e. the
summation-approach. This is much slower than the fast Fourier
transform approach used by
acf, but it seems more natural to
use this when computing the ordinary spectral density in the old
fashioned way (using window-functions instead of periodograms).
A list containing the three components
The number of lags to include in the analysis. The
A file will be created containing an array with the
(ordinary) autocorrelations of
NULL, then the array will be returned to the workflow
directly, otherwise it will be saved to disk.
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