pdcDistOneTSListMult: Multi-variate Permutation Distribution Distance for One List...
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Value
Description
Version of pdcDistTSListMult which computes the PDC distance from
each time series of a list to each time series of the same list.
Usage
1
pdcDistOneTSListMult(tsList, subSequenceLength = NULL)
Arguments
tsList
A list of numeric matrixes (multi-variate time series). Each
time series should have at least two elements.
subSequenceLength
Number of elements which form each subsequence. Will
be determined as integer in [2,7] by a heuristic if not provided.
Value
The (symmetric) distance matrix with each entry being a numeric from
the range [0,4*attributeCount].
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Value
Description
Version of pdcDistTSListMult which computes the PDC distance from
each time series of a list to each time series of the same list.
Usage
1 | pdcDistOneTSListMult(tsList, subSequenceLength = NULL)
|
Arguments
tsList |
A list of numeric matrixes (multi-variate time series). Each time series should have at least two elements. |
subSequenceLength |
Number of elements which form each subsequence. Will be determined as integer in [2,7] by a heuristic if not provided. |
Value
The (symmetric) distance matrix with each entry being a numeric from the range [0,4*attributeCount].
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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