drpfromts {crqa} | R Documentation |
Diagonal recurrence profile
Description
Method to explore the diagonal profile of the recurrence plot (Auto, Cross, or Multi-dimensional). It returns the recurrence for different delays, the maximal recurrence observed and the delay at which it occurred.
Usage
drpfromts(ts1, ts2, windowsize, radius,
delay, embed, rescale, normalize, mindiagline, minvertline, tw,
whiteline, recpt, side, method, metric, datatype)
Arguments
ts1 |
First time-series |
ts2 |
Second time-series |
windowsize |
A constant indicating the range of delays (positive and negative) to explore |
radius |
A threshold, cut-off, constant used to decide whether two points are recurrent or not. |
delay |
The delay unit by which the series are lagged. |
embed |
The number of embedding dimension for phase-reconstruction, i.e., the lag intervals. |
rescale |
Rescale the distance matrix; if rescale = 0 (do nothing); if rescale = 1 (mean distance of entire matrix); if rescale = 2 (maximum distance of entire matrix). if rescale = 3 (minimum distance of entire matrix). if rescale = 4 (euclidean distance of entire matrix). |
normalize |
Normalize the time-series; if normalize = 0 (do nothing); if normalize = 1 (Unit interval); if normalize = 2 (z-score). |
mindiagline |
A minimum diagonal length of recurrent points. Usually set to 2, as it takes a minimum of two points to define any line. |
minvertline |
A minimum vertical length of recurrent points. |
tw |
The Theiler window parameter |
whiteline |
A logical flag to calculate (TRUE) or not (FALSE) empty vertical lines. |
recpt |
A logical flag indicating whether measures of cross-recurrence are calculated directly from a recurrent plot (TRUE) or not (FALSE). |
side |
A string indicating whether recurrence measures should be calculated in the 'upper' triangle of the RP 'lower' triangle of the matrix, or 'both'. LOC is automatically excluded for 'upper' and 'lower'. |
method |
A string to indicate the type of recurrence analysis to peform. There are three options: rqa (autorecurrence); crqa(cross-recurrence); mdcrqa(multidimensional recurrence). Default value is crqa |
metric |
A string to indicate the type of distance metric used, default is euclidean but see help rdist() to list all other possible metrics. |
datatype |
a string (continuous or categorical) to indicate whether the nature of the data type |
Value
A list with the following arguments:
profile |
A vector of recurrence (ranging from 0,1) with length equal to the number of delays explored |
maxrec |
Maximal recurrence observed between the two-series |
maxlag |
Delay at which maximal recurrence is observed |
Author(s)
Moreno I. Coco (moreno.cocoi@gmail.com)
See Also
Examples
# use the available data
data(crqa)
listener = eyemovement$listener
narrator = eyemovement$narrator
res = drpfromts(narrator, listener, windowsize = 100,
radius = 0.001, delay = 1, embed = 1, rescale = 0,
normalize = 0, mindiagline = 2, minvertline = 2,
tw = 0, whiteline = FALSE, recpt = FALSE,
side = 'both', method = 'crqa',
metric = 'euclidean', datatype = 'continuous')
profile = res$profile
plot(seq(1,length(profile),1), profile, type = "l", lwd = 5,
xaxt = "n", xlab = "Lag", ylab = "Recurrence")