MixAll (version 1.5.10)

missingValues: Return the missing values of a component or a cluster class.

Description

The missing methods allow the user to get the imputed mssing values from a mixture model.

Usage

missingValues(x)
# S4 method for ClusterMixedDataModel
missingValues(x)
# S4 method for ClusterDiagGaussianComponent
missingValues(x)
# S4 method for ClusterDiagGaussian
missingValues(x)
# S4 method for ClusterGammaComponent
missingValues(x)
# S4 method for ClusterGamma
missingValues(x)
# S4 method for ClusterCategoricalComponent
missingValues(x)
# S4 method for ClusterCategorical
missingValues(x)
# S4 method for ClusterPoissonComponent
missingValues(x)
# S4 method for ClusterPoisson
missingValues(x)
# S4 method for ClusterPredict
missingValues(x)
# S4 method for ClusterPredictMixedData
missingValues(x)
# S4 method for KmmComponent
missingValues(x)
# S4 method for KmmModel
missingValues(x)

Value

A matrix with three columns (row index, column index, value)

Arguments

x

an object that can return the imputed missing values

Examples

if (FALSE) {
## add 10 missing values as random
data(geyser)
x = as.matrix(geyser); n <- nrow(x); p <- ncol(x);
indexes <- matrix(c(round(runif(5,1,n)), round(runif(5,1,p))), ncol=2);
x[indexes] <- NA;
## estimate model (using fast strategy, results may be misleading)
model <- clusterDiagGaussian(data=x, nbCluster=2:3, strategy = clusterFastStrategy())
missingValues(model)
}