latrend: lcMethodLMKM – R documentation

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lcMethodLMKM

Two-step clustering through linear regression modeling and k-means

Two-step clustering through linear regression modeling and k-means

lcMethodLMKM(
  formula,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  nClusters = 2,
  standardize = scale,
  ...
)

`formula`	A `formula` specifying the linear trajectory model.
`time`	The name of the time variable.
`id`	The name of the trajectory identification variable.
`nClusters`	The number of clusters to estimate.
`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.
`...`	Arguments passed to stats::lm. The following external arguments are ignored: x, data, control, centers, trace.

data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time", nClusters = 3)
model <- latrend(method, latrendData)

A Framework for Clustering Longitudinal Data

v1.1.2

GPL (>= 2)

Authors

Initial release

2021-04-14