DiscriminantPlot: Discriminant Plot

In sysbioTurin/connector: Fitting and clustering of longitudinal data

Discriminant Plot

Description

Gives a simple visualization regarding in which cluster each sample belongs.

Usage

DiscriminantPlot(clusterdata, feature, save = FALSE, path = NULL)

Arguments

clusterdata	The list obtained from extrapolating the most probable clustering from the StabilityAnalysis function output. (see StabilityAnalysis and MostProbableClustering.Extrapolation).
save	If TRUE then the discriminant plots colored depending on the feature and the cluster membership are saved.
path	The folder path where the plot(s) will be saved. If it is missing, the plot is saved in the current working directory. @return DiscriminantPlot visualizes two versions of the same discriminant linear plot, showing in a h-dimensional space the cluster membership of each curve. In the first case the symbols identifying the elements of different clusters are colored depending on the cluster membership, and in the second plot the symbols are colored depending the selected feature. If h > 2 the principal component analysis is exploited to extrapolate the components of the h-space with more explained variability.
data	CONNECTORList. (see DataImport or DataTruncation)

Author(s)

Cordero Francesca, Pernice Simone, Sirovich Roberta

References

Gareth M. James and Catherine A. Sugar, (2003). Clustering for Sparsely Sampled Functional Data. Journal of the American Statistical Association.

sysbioTurin/connector documentation built on April 9, 2024, 12:10 p.m.