Description Usage Arguments Value Source Examples
This function clusters Micro-Panel (longitudinal) Data (or trajectories) to a pre-defined number of clusters by employing Feature-Based Clustering of Micro-Panel (longitudinal) Data algorithm called CluMP (see Reference). Currently, only univariate clustering analysis is available.
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formula |
A two-sided |
group |
A grouping factor variable (vector), i.e. single identifier for each individual (trajectory). |
data |
A data frame containing the variables named in the |
cl_numb |
An integer, positive number (scalar) specifying the number of clusters. The |
base_val |
Indicates whether include a value at zero time point as an additional clustering variable. Default is FALSE and the standard number (7) of clustering parameters is used. |
method |
A method which use in hierarhical clustering, same as in |
Cluster Micro-Panel data. The output is the list
of 5 components which contain results from clustering.
Sobisek, L., Stachova, M., Fojtik, J. (2018) Novel Feature-Based Clustering of Micro-Panel Data (CluMP). Working paper version online: www.arxiv.org
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