latrend: lcModelPartition – R documentation

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lcModelPartition

Create a lcModel with pre-defined partitioning

Description

Represents an arbitrary partitioning of a set of trajectories. As such, this model has no predictive capabilities. The cluster trajectories are represented by the specified center function (mean by default).

Usage

lcModelPartition(
  data,
  response,
  trajectoryAssignments,
  nClusters = NA,
  center = meanNA,
  clusterNames = NULL,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  name = "part",
  envir = parent.frame()
)

Arguments

`data`	A `data.frame` representing the trajectory data.
`response`	The name of the response variable.
`trajectoryAssignments`	A `vector` of cluster membership per trajectory, either `factor`, or `integer` (`1` to `nClusters`).
`nClusters`	The number of clusters. Optional for `factor` assignments.
`center`	The `function` for computing the longitudinal cluster centers, used for representing the cluster trajectories.
`clusterNames`	The names of the clusters, or a function with input `n` outputting a `character vector` of names.
`time`	The name of the time variable.
`id`	The name of the trajectory identification variable.
`name`	The name of the method.
`envir`	The `environment` associated with the model. Used for evaluating the assigned `data` object by model.data.lcModel.

latrend

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14

lcModelPartition

Description

Usage

Arguments

latrend

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