Quantile-quantile plot — qqPlot • latrend

Plot the quantile-quantile (Q-Q) plot for the fitted lcModel object. This function is based on the qqplotr package.

qqPlot(model, byCluster = FALSE, ...)

Arguments

model: lcModel
byCluster: Whether to plot the Q-Q line per cluster
...: Additional arguments passed to residuals.lcModel, qqplotr::geom_qq_band(), qqplotr::stat_qq_line(), and qqplotr::stat_qq_point().

Value

A ggplot object.

See also

residuals.lcModel metric plotClusterTrajectories

Other lcModel functions: clusterNames(), clusterProportions(), clusterSizes(), clusterTrajectories(), coef.lcModel(), converged(), deviance.lcModel(), df.residual.lcModel(), estimationTime(), externalMetric(), fitted.lcModel(), fittedTrajectories(), getCall.lcModel(), getLcMethod(), ids(), lcModel-class, metric(), model.frame.lcModel(), nClusters(), nIds(), nobs.lcModel(), plot-lcModel-method, plotClusterTrajectories(), plotFittedTrajectories(), postprob(), predict.lcModel(), predictAssignments(), predictForCluster(), predictPostprob(), residuals.lcModel(), sigma.lcModel(), strip(), time.lcModel(), trajectoryAssignments()

Examples

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

if (require("ggplot2") && require("qqplotr")) {
  qqPlot(model)
}
#> Loading required package: qqplotr
#> 
#> Attaching package: ‘qqplotr’
#> The following objects are masked from ‘package:ggplot2’:
#> 
#>     StatQqLine, stat_qq_line