From Time Series to Networks

Documentation for package ‘ts2net’ version 0.1.0

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dataset_sincos_generate	Sin-Cos data set generator. This function generates a set of sine and cosine time series. This function is used as example of the package application.
dist_file_parts_merge	Merge parts of distances stored in files.
dist_matrix_normalize	Normalize a distance/similarity matrix.
dist_parts_merge	Merge parts of distances stored in data frames.
dist_percentile	Returns the distance value that corresponds to the desired percentile. This function is useful when the user wants to generate networks with different distance functions but with the same link density.
events_from_ts	Extract events from a time series.
net_enn	Construct an epsilon-network from a distance matrix.
net_enn_approx	Construct an approximated epsilon neighbor network (faster, but approximated) from a distance matrix. Some actual nearest neighbors may be omitted.
net_knn	Construct a knn-network from a distance matrix.
net_knn_approx	Construct an approximated knn-network (faster, but approximated) from a distance matrix.
net_weighted	Creates a weighted network.
random_ets	Random event time series generator
tsdist_ccf	Cross-correlation distance
tsdist_cor	Absolute, positive, or negative correlation distance.
tsdist_dtw	Dynamic Time Warping (DTW) distance.
tsdist_es	Event synchronization distance test.
tsdist_mic	Maximal information coefficient (MIC) distance.
tsdist_nmi	Normalized mutual information distance
tsdist_voi	Variation of Information distance
tsdist_vr	van Rossum distance
tsnet_rn	Construct the recurrence network from a time series.
tsnet_vg	Construct the visibility graph from a time series
tssim_event_sync	Event synchronization measure
ts_dist	Calculate distances between pairs of time series in a list.
ts_dist_part	Calculate distances between pairs of time series in part of a list.
ts_dist_part_file	Calculate distances between pairs of time series stored in files.
ts_to_windows	Extract time windows from a time series