| clusterTrajectories | R Documentation |
Extracts a data frame of all cluster trajectories.
## S4 method for signature 'lcModel' clusterTrajectories(object, at = time(object), what = "mu", ...)
object |
The |
at |
An optional vector of the times at which to compute the cluster trajectory predictions. |
what |
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying |
... |
Additional arguments. |
A data.frame of the estimated values at the given times. The first column should be named "Cluster". The second column should be time, with the name matching the timeVariable(object). The third column should be the expected value of the observations, named after the responseVariable(object).
Other lcModel functions:
clusterNames(),
clusterProportions(),
clusterSizes(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
estimationTime(),
externalMetric,lcModel,lcModel-method,
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(),
qqPlot(),
residuals.lcModel(),
sigma.lcModel(),
strip(),
time.lcModel(),
trajectoryAssignments()
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time") model <- latrend(method, latrendData) clusterTrajectories(model) clusterTrajectories(model, at = c(0, .5, 1))