latrend (version 1.6.2)

lcMethodDtwclust: Specify time series clustering via dtwclust

Description

Specify time series clustering via dtwclust

Usage

lcMethodDtwclust(
  response,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  ...
)

Arguments

response

The name of the response variable.

time

The name of the time variable.

id

The name of the trajectory identifier variable.

nClusters

Number of clusters.

...

Arguments passed to dtwclust::tsclust. The following arguments are ignored: series, k, trace.

References

sardaespinosa2019timelatrend

See Also

Other lcMethod implementations: getArgumentDefaults(), getArgumentExclusions(), lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodFeature, lcMethodFunFEM, lcMethodFunction, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

data(latrendData)

if (require("dtwclust")) {
  method <- lcMethodDtwclust("Y", id = "Id", time = "Time", nClusters = 3)
  # reduced sample size to lower runtime
  model <- latrend(method, latrendData[1:500, ])
}