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Plots a Cumulative Logistic MDU model
# S3 method for clmdu plot( x, dims = c(1, 2), circles = seq(1, R), ycol = "darkgreen", xcol = "darkblue", ocol = "grey", markersize = 2.5, labelsize = 3, ... )
Plot of the results obtained from clmdu
an object of type clmdu
which dimensions to visualize
which circles to visualize
colour for representation of response variables
colour for representation of predictor variables
colour for representation of row objects
size of points
size of labels
additional arguments to be passed.
if (FALSE) { data(dataExample_clmdu) Y = as.matrix(dataExample_clmdu[ , 1:8]) X = as.matrix(dataExample_clmdu[ , 9:13]) # unsupervised output = clmdu(Y = Y, S = 2) plot(output) }
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