clusterTrajectories {latrend} | R Documentation |
Extract cluster trajectories
Description
Extracts a data.frame
of the cluster trajectories associated with the given object.
Usage
clusterTrajectories(object, ...)
## S4 method for signature 'lcModel'
clusterTrajectories(object, at = time(object), what = "mu", ...)
Arguments
object |
The model. |
... |
For |
at |
A |
what |
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying |
Value
A data.frame
of the estimated values at the specified 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)
.
See Also
Other lcModel functions:
clusterNames()
,
clusterProportions()
,
clusterSizes()
,
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()
,
qqPlot()
,
residuals.lcModel()
,
sigma.lcModel()
,
strip()
,
time.lcModel()
,
trajectoryAssignments()
Examples
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
clusterTrajectories(model)
clusterTrajectories(model, at = c(0, .5, 1))