plot-KmmMixedDataModel-method: Plotting of a class ['KmmMixedDataModel']

In MixAll: Clustering and Classification using Model-Based Mixture Models

Plotting of a class [KmmMixedDataModel]

Description

Plotting data from a [KmmMixedDataModel] object using the estimated parameters and partition.

Usage

## S4 method for signature 'KmmMixedDataModel'
plot(x, y, ...)

Arguments

x	an object of class [KmmMixedDataModel]
y	a vector listing the data sets you want to disply
...	further arguments passed to or from other methods

See Also

plot

Examples

## The bullsEye data set
data(bullsEye)
data(bullsEye.cat)
## with default values
ldata  = list(bullsEye, bullsEye.cat)
modelcont <- list(modelName="kmm_pk_s", dim = 10, kernelName="Gaussian")
modelcat  <- list(modelName="kmm_pk_s", dim = 20, kernelName="Hamming", kernelParameters = c(0.6))
lmodels = list( modelcont, modelcat)

model <- kmmMixedData(ldata, lmodels, nbCluster=2:5, strategy = clusterFastStrategy())
# plot only the first continuous data set
plot(model, y=c(1))
  

MixAll documentation built on June 22, 2024, 6:56 p.m.