latrend: lcMethodFeature – R documentation

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latrend

lcMethodFeature

Feature-based clustering

Description

Feature-based clustering.

Usage

lcMethodFeature(
  response,
  representationStep,
  clusterStep,
  standardize = scale,
  center = meanNA,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  ...
)

Arguments

`response`	The name of the response variable.
`representationStep`	A `function` with signature `function(method, data)` that computes the representation per strata, returned as a `matrix`. Alternatively, `representationStep` is a pre-computed representation `matrix`.
`clusterStep`	A `function` with signature `function(repdata)` that outputs a `lcModel`.
`standardize`	A `function` to standardize the output `matrix` of the representation step. By default, the output is shifted and rescaled to ensure zero mean and unit variance.
`center`	Optional `function` for computing the longitudinal cluster centers, with signature `(x)`.
`time`	The name of the time variable.
`id`	The name of the trajectory identification variable.
`...`	Additional arguments.

lcMethodFeature

Description

Usage

Arguments

See Also

latrend

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