From Time Series to Networks

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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