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dtw (version 1.15)

Dynamic Time Warping algorithms

Description

A comprehensive implementation of Dynamic Time Warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. All common DTW variants are covered, including local (slope) and global (window) constraints, distance definitions, length normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, several plot styles, etc.

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Version

Install

install.packages('dtw')

Monthly Downloads

9,282

Version

1.15

License

GPL (>= 2)

Maintainer

Toni Giorgino

Last Published

August 22nd, 2012

Functions in dtw (1.15)

warpArea

Compute Warping Path Area
mvm

Minimum Variance Matching algorithm
dtwDist

Compute a dissimilarity matrix
dtwPlot

Plotting of dynamic time warp results
dtwPlotTwoWay

Plotting of dynamic time warp results: pointwise comparison
dtw

Dynamic Time Warp
warp

Apply a warping to a given timeseries
aami

ANSI/AAMI EC13 Test Waveforms, 3a and 3b
dtw-package

Dynamic Time Warp algorithms in R
dtwWindowingFunctions

Global constraints and windowing functions for DTW
dtw-internal

Internal dtw Functions
dtwPlotThreeWay

Plotting of dynamic time warp results: annotated warping function
stepPattern

Step patterns for DTW