Description Usage Arguments Value Examples
The missing methods allow the user to get the imputed mssing values from a mixture model.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | 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)
1 2 3 4 5 6 7 8 9 10 11 | ## 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)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.