Use rp_measures
Arguments
- RM
A distance matrix (set
emRad = NAto estimate a radius), or a matrix of zeroes and ones- emRad
Threshold for distance value that counts as a recurrence (ignored is
RMis a binary matrix)- DLmin
Minimal diagonal line length (default =
2)- VLmin
Minimal vertical line length (default =
2)- HLmin
Minimal horizontal line length (default =
2)- 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)
- AUTO
Auto-recurrence? (default =
FALSE)- theiler
Use a
theilerwindow around the main diagonal (Line of Identity/Synchronisation) to remove auto-correlations at short time-lags:0will include the main diagonal in all RQA measure calculations.1will remove the main diagonal from all RQA measure calculations.NA(default), will check if the matrix is symmetrical , if so, it will remove the diagonal by settingtheiler = 1(Line of Identity, Auto-RQA), if it is not symmetrical (Line of Synchronisation, Cross-RQA) it will settheiler = 0.A value greater than
1will remove that many diagonals around and including the diagonal from all RQA measure calculations. Sotheiler = 2means exclude2diagonals around the main diagonal, including the main diagonal itself:[-1,0,1]. Iftheileris a numeric vector oflength(theiler) == 2it is possible to exclude an asymmetrical window. The values are interpreted as end points in a sequence of diagonal ID's, e.g.theiler = c(-1,5)will exclude[-1,0,1,2,3,4,5]. Iflength(theiler) > 2, the values will be considered individual diagonal ID's, e.g.theiler = c(-3,-1,0,2,5), will exclude only those specific ID's. Also see the note.
- chromatic
Force chromatic RQA? If
NAthe value of theRMattribute"chromatic"will be used, if present (default =NA)- matrices
Return matrices? (default =
FALSE)- Nboot
How many bootstrap replications? (default =
NULL)- CL
Confidence limit for bootstrap results (default =
.95)
See also
Other Recurrence Quantification Analysis:
rp_cl(),
rp_measures()
