Description Usage Arguments Details Value Examples
This function lags the all series in x
according to their cross-
correlation with y
.
1 | choose_lag(x, y, lag.max = 0.5)
|
x |
Array containing the IMFs to lag. |
y |
vector containing the response with which to maximize the correlation. |
lag.max |
The maximum lag to consider relatively to the mean period of each IMF. |
In this function, the lag is determined automatically for each IMF
in x
. The lag chosen is the one maximizing the cross-correlation
(in absolute value) between the IMF and y
.
For each IMF in x
, the maximum lag considered in the search
is lag.max * IMF period (rounded). For example, for an IMF of mean period
10 and lag.max = 0.5
, the maximum lag considered is 5.
An array with the same dimensions as x
containing the lagged
IMFs. In addition contains an attribute lag
storing the lags chosen
for each IMF.
1 2 | choose_lag(cos(3:22), cos(1:20))
choose_lag(cos(2:21), cos(1:20))
|
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