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DSM_plot plot the naive visualization of the distribution of selected model
DSM_plot( X, f, p, Anchor.model = NULL, circlesize = NULL, linewidth = NULL, fontsize = NULL )
A m*p matrix which contains m different p-dimensional models. All the elements are either 0 or 1.
A vector with m elements which represent each model's frequency in X.
The number of variate in the model
A vector containing p elements with either 1 or 0 value and must be found in X. Default is the model with the highest frequency.
customize the size of the circle in the plot, default is 10.
Customize the width of the line in the plot, default is 1.
Customize the size of the font in the circles, default is 1.5.
A summarized information of the grouped models.
# NOT RUN { data(exampleX) X=exampleX data(examplef) f=examplef p=8 DSM_example1 = DSM_plot(X,f,p) # }
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