Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis

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Documentation for package ‘crqa’ version 2.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

crqa-package	Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis
crqa	Auto, cross and multidimensional recurrence measures of one, two or multiple time-series, time-delayed and embedded in higher dimensional space
drpfromts	Diagonal recurrence profile
eyemovement	Eye-movement categorical time-series
Figure_1	Eye-movement categorical time-series
Figure_2	A unidimensional sinusoidal time series
Figure_3	Simulated time series of the three dimensions from the Lorenz system
Figure_6	Figure_6
handmovement	Continuous series of hand movements
lorenzattractor	Simulate the Lorenz Attractor
mdDelay	Find optimal delay from a multi-dimensional dataset.
mdFnn	Find optimal embedding dimension of a multi-dimensional dataset.
optimizeParam	Estimate optimal delay, embedding dimension and radius for continuous time-series data
piecewiseRQA	Compute recurrence plots for long time-series data series using a block (piece-wise) method.
plotRP	Plot a recurrence matrix
simts	Simulate dichotomous binary time-series
spdiags	Extract diagonal matrices
text	Categorical sequence of words
wincrqa	Windowed Recurrence Measures
windowdrp	Windowed Recurrence Profile