TSdist (version 2.2)

frechetDistance: Frechet distance

Description

Computes the Frechet distance between two numerical trajectories.

Usage

frechetDistance(x, y, tx, ty, ...)

Arguments

x

Numeric vector containing the first time series.

y

Numeric vector containing the second time series.

tx

If not constant, a numeric vector that specifies the sampling index of series x.

ty

If not constant, a numeric vector that specifies the sampling index of series y.

...

Additional parameters for the function. See distFrechet for more information.

Value

• d
  The computed distance between the pair of series.

Details

This is essentially a wrapper for the distFrechet function of package longitudinalData. As such, all the functionalities of the distFrechet function are also available when using this function.

References

Christophe Genolini (2014). longitudinalData: Longitudinal Data. R package version 2.2. http://CRAN.R-project.org/package=longitudinalData

Pablo Montero, José A. Vilar (2014). TSclust: An R Package for Time Series Clustering. Journal of Statistical Software, 62(1), 1-43. URL http://www.jstatsoft.org/v62/i01/.

See Also

To calculate this distance measure using ts, zoo or xts objects see tsDistances. To calculate distance matrices of time series databases using this measure see tsDatabaseDistances.

Examples

#The objects example.serie3 and example.series4 are two 
#numeric series of length 100 and 120, respectively. 

data(example.series3)
data(example.series4)

#For information on their generation and shape see 
#help page of example.series.

help(example.series)

#Calculate the distance based on wavelet feature extraction between the series.

frechetDistance(example.series3, example.series4)