rqa_par | R Documentation |
Calculate (C)RQA measures without creating a recurrence matrix. Can handle very large time series and requires package future.apply to be installed.
rqa_par(
y1,
y2 = NULL,
emDim = 1,
emLag = 1,
emRad = NULL,
theiler = NA,
includeDiagonal = NA,
AUTO = NULL,
DLmin = 2,
VLmin = 2,
HLmin = 2,
DLmax = NA,
VLmax = NA,
HLmax = NA,
weighted = FALSE,
weightedBy = "si",
method = c("Euclidean", "SBD")[1],
rescaleDist = c("none", "maxDist", "meanDist")[1],
targetValue = 0.05,
chromatic = FALSE,
recurrenceTimes = FALSE,
doPlot = FALSE,
doEmbed = TRUE,
anisotropyHV = FALSE,
asymmetryUL = FALSE,
silent = TRUE,
...
)
y1 |
A numeric vector or time series |
y2 |
A numeric vector or time series for cross recurrence |
emDim |
The embedding dimensions |
emLag |
The embedding lag |
emRad |
The threshold (emRad) to apply to the distance matrix to create a binary or weighted matrix. If |
theiler |
Use a
|
AUTO |
Auto-recurrence? (default = |
DLmin |
Minimal diagonal line length (default = |
VLmin |
Minimal vertical line length (default = |
HLmin |
Minimal horizontal line length (default = |
DLmax |
Maximal diagonal line length (default = length of diagonal -1) |
VLmax |
Maximal vertical line length (default = length of diagonal -1) |
HLmax |
Maximal horizontal line length (default = length of diagonal -1) |
weighted |
If |
weightedBy |
After setting values smaller than |
method |
Distance measure to use. Any option that is valid for argument |
rescaleDist |
Should the distance matrix be rescaled? Options are "none", "maxDist" to create a unit scale, "meanScale" to creat z-scores based on the mean distance. (default = |
targetValue |
A value passed to |
chromatic |
Perform a chromatic RQA. This assumes the recurring values represent the labels of an unordered categorical variable (default = |
recurrenceTimes |
Return measures based on 'white lines', the recurrence times (default = |
doPlot |
Plot the matrix by calling |
doEmbed |
If |
anisotropyHV |
Return anisotropy ratio measures based on Horizontal and Vertical lines. The ratios are calculated as |
asymmetryUL |
Return asymmetry ratio measures based on Upper and Lower triangles. The ratios are calculated as |
silent |
Silent-ish mode |
... |
Any parameters to pass to |
RQA
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