generateLongData: Generate longitudinal test data

In latrend: A Framework for Clustering Longitudinal Data

Generate longitudinal test data

Description

Generate longitudinal test data

Usage

generateLongData(
  sizes = c(40, 60),
  fixed = Value ~ 1,
  cluster = ~1 + Time,
  random = ~1,
  id = getOption("latrend.id"),
  data = data.frame(Time = seq(0, 1, by = 0.1)),
  fixedCoefs = 0,
  clusterCoefs = cbind(c(-2, 1), c(2, -1)),
  randomScales = cbind(0.1, 0.1),
  rrandom = rnorm,
  noiseScales = c(0.1, 0.1),
  rnoise = rnorm,
  clusterNames = LETTERS[seq_along(sizes)],
  shuffle = FALSE,
  seed = NULL
)

Arguments

sizes	Number of strata per cluster.
fixed	Fixed effects formula.
cluster	Cluster effects formula.
random	Random effects formula.
id	Name of the strata.
data	Data with covariates to use for generation. Stratified data may be specified by adding a grouping column.
fixedCoefs	Coefficients matrix for the fixed effects.
clusterCoefs	Coefficients matrix for the cluster effects.
randomScales	Standard deviations matrix for the size of the variance components (random effects).
rrandom	Random sampler for generating the variance components at location 0.
noiseScales	Scale of the random noise passed to rnoise. Either scalar or defined per cluster.
rnoise	Random sampler for generating noise at location 0 with the respective scale.
clusterNames	A character vector denoting the names of the generated clusters.
shuffle	Whether to randomly reorder the strata in which they appear in the data.frame.
seed	Optional seed to set for the PRNG. The set PRNG state persists after the function completes.

See Also

latrend-data

Examples

longdata <- generateLongData(
  sizes = c(40, 70), id = "Id",
  cluster = ~poly(Time, 2, raw = TRUE),
  clusterCoefs = cbind(c(1, 2, 5), c(-3, 4, .2))
)

if (require("ggplot2")) {
  plotTrajectories(longdata, response = "Value", id = "Id", time = "Time")
}

latrend documentation built on March 31, 2023, 5:45 p.m.