Plot cluster trajectories
Plot cluster trajectories
Plot the cluster trajectories of a lcModel
## S4 method for signature 'data.frame'
plotClusterTrajectories(
object,
response,
cluster = "Cluster",
time = getOption("latrend.time"),
center = meanNA,
trajectories = FALSE,
facet = isTRUE(trajectories),
id = getOption("latrend.id"),
...
)
## S4 method for signature 'lcModel'
plotClusterTrajectories(
object,
what = "mu",
at = time(object),
clusterLabels = sprintf("%s (%s)", clusterNames(object),
percent(clusterProportions(object))),
trajectories = FALSE,
facet = isTRUE(trajectories),
trajAssignments = trajectoryAssignments(object),
...
)object |
The (cluster) trajectory data. |
response |
The name of the response variable. |
cluster |
The cluster assignment column |
time |
The name of the time variable. |
center |
A function for aggregating multiple points at the same point in time |
trajectories |
Whether to plot the original data in addition to the cluster (i.e., center) trajectories |
facet |
Whether to facet by cluster. This is done by default when |
id |
Id column. Only needed when |
... |
Arguments passed to clusterTrajectories, or ggplot2::geom_line for plotting the cluster trajectory lines. |
what |
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying |
at |
An optional vector, list or data frame of covariates at which to compute the cluster trajectory predictions. If a vector is specified, this is assumed to be the time covariate. Otherwise, a named list or data frame must be provided. |
clusterLabels |
Cluster display names. By default it's the cluster name with its proportion enclosed in parentheses. |
trajAssignments |
The cluster assignments for the fitted trajectories. Only used when |
Instead of passing the plotting arguments through ..., consider modifying the ggplot2 defaults.
For example, changing the default line size: update_geom_defaults("line", list(size = 1.5))
A ggplot object.
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