Clustering 2D-scatterplot
sctr generates a scatterplot from a
binClst_instance, showing clusters in different colors.
sctr(obj, ...) ## S4 method for signature 'binClst' sctr(obj, ref = NULL, showVars = NULL, showClst = NULL, bg = NULL, ...) ## S4 method for signature 'binClstStck' sctr(obj, ref = NULL, showVars = NULL, showClst = NULL, ...)
obj |
|
... |
Parameters |
ref |
A numeric vector with expert/reference labeling for visual validation of the clustering. A second binClst_instance to be compared with the former. |
showVars |
When the number of variables is greater than two, a length 3 numeric vector indicating one splitting variable and two variables to be scattered (given in that order). |
showClst |
When the number of variables is greater than two, a numeric vector (of variable length) indicating a subset of the clusters that will be shown in the scatter plot. This is useful in case of overlapping clusters. |
bg |
A valid colour to be used as background colour for multivariate scatterplots. By default a light-grey colour is used to enhance data points visibility. |
# -- apply EMbC to the example path -- mybcp <- stbc(expth,info=-1) # -- show the scatterplot compared with expert labeling-- sctr(mybcp,expth$lbl)
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