CTcrqa
(Package: crqa) :
Contingency Table Cross-Recurrence Quantification Analysis
Recurrence is calculated by means of contingency tables, and it can only be used on categorical time-series. First, it finds the common state, or categories, shared by the two-times series, then it builds up a contingency table counting the co-occurrences of stateA-stateB between the two-series. The diagonal of the CT is where the recurrence profile is calculated, as along the diagonal, the states are identical.
● Data Source:
CranContrib
● Keywords:
● Alias: CTcrqa
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tt
(Package: crqa) :
Trapping-Time
Extract vertical lines from a recurrence plot on which it calculates laminarity (the percentage of recurrence points which form vertical lines), and trapping-time (the mean length of vertical lines).
● Data Source:
CranContrib
● Keywords:
● Alias: tt
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drpdfromts
(Package: crqa) :
Cross-Recurrence diagonal profile of two time-series
Quick method to explore the cross-recurrence diagonal profile of two-time series. It returns the recurrence observed for different delays, the maximal recurrence observed, and the delay at which it occurred.
● Data Source:
CranContrib
● Keywords:
● Alias: drpdfromts
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calcphi
(Package: crqa) :
Extract the phi-coefficient observed between the
Phi-coefficient is the recurrence observed between the two time-series on a specific state k. The phi(k) coefficient increases with the frequency of matching recurrence on the same state (k ; k) and away from this state (not k ; not k) between the two time-series. On the other hand, phi(k) decreases with the frequency of mismatching objects (k; not-k, and vice versa).
● Data Source:
CranContrib
● Keywords: ts
● Alias: calcphi
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CRQA is a package to perform cross-recurrence quantification analysis between two time-series, of either categorical or continuous values. It provides different methods for profiling cross-recurrence, i.e., only looking at the diagonal recurrent points, as well as more in-depth measures of the whole cross-recurrence plot, e.g., percentage recurrence.
● Data Source:
CranContrib
● Keywords: package
● Alias: crqa-package
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crqa
(Package: crqa) :
Cross recurrence measures of two time-series,
Core cross recurrence function, which examines recurrent structures between time-series, which are time-delayed and embedded in higher dimensional space. The approach compares the phase space trajectories of two time-series in the same phase-space when delays are introduced. A distance matrix between the two-series, delayed and embedded is calculated. Several measures representative of the interaction between two series are extracted (explained below).
● Data Source:
CranContrib
● Keywords: ts
● Alias: crqa
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spdiags
(Package: crqa) :
Extract diagonal matrices
Extracts all nonzero diagonals from the m-by-n matrix A. B is a min(m,n)-by-p matrix whose columns are the p nonzero diagonals of A.
● Data Source:
CranContrib
● Keywords: array
● Alias: spdiags
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optimizeParam
(Package: crqa) :
Optimal parameters value for CRQA on continuous
Iterative procedure exploring a combination of parameter values to obtain maximal recurrence between two time-series. It finds the values for the three parameters of radius, delay and embedding dimensions that optimize recurrence.
● Data Source:
CranContrib
● Keywords: ts
● Alias: optimizeParam
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wincrqa
(Package: crqa) :
Window Cross-Recurrence Measures
It computes cross-recurrence is calculated in overlapping windows of a certain size for a number of delays smaller than the size of the window. For each window, a cross-recurrence plot is build and measures of it extracted.
● Data Source:
CranContrib
● Keywords:
● Alias: wincrqa
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windowdrp
(Package: crqa) :
Window Cross-Recurrence Profile
Cross-recurrence is calculated in overlapping windows of a specified size for a number of delays smaller than the size of the window. In every window, the recurrence value for the different delays is calculated. A mean is then taken across the delays to obtain a recurrence value in that particular window.
● Data Source:
CranContrib
● Keywords:
● Alias: windowdrp
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