missingValues {MixAll} | R Documentation |
The missing methods allow the user to get the imputed mssing values from a mixture model.
missingValues(x) ## S4 method for signature 'ClusterMixedDataModel' missingValues(x) ## S4 method for signature 'ClusterDiagGaussianComponent' missingValues(x) ## S4 method for signature 'ClusterDiagGaussian' missingValues(x) ## S4 method for signature 'ClusterGammaComponent' missingValues(x) ## S4 method for signature 'ClusterGamma' missingValues(x) ## S4 method for signature 'ClusterCategoricalComponent' missingValues(x) ## S4 method for signature 'ClusterCategorical' missingValues(x) ## S4 method for signature 'ClusterPoissonComponent' missingValues(x) ## S4 method for signature 'ClusterPoisson' missingValues(x) ## S4 method for signature 'ClusterPredict' missingValues(x) ## S4 method for signature 'ClusterPredictMixedData' missingValues(x) ## S4 method for signature 'KmmComponent' missingValues(x) ## S4 method for signature 'KmmModel' missingValues(x)
x |
an object that can return the imputed missing values |
A matrix with three columns (row index, column index, value)
## Not run: ## 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) ## End(Not run)