stats[statplots, scatterplot] - Agglomerated Plot
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Calling Sequence
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stats[statplots, scatterplot](data, format=agglomerated[n, l], ..)
statplots[scatterplot](data, format=agglomerated[n, l], ..)
scatterplot(data, format=agglomerated[n, l], ..)
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Parameters
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data
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statistical list(s)
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n
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number of points within the range determined by l
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l
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maximum length of one side of an agglomerated box
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plotoptions
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plot options
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Description
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The function scatterplot with the format parameter format=agglomerated of the subpackage stats[statplots] organizes data clusters into classes.
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This type of plot is often used by cartographers, or when there is a large number of data points involved. The idea is that it is not necessary to have the detail of each individual point in a plot. Closely grouped points are plotted instead as one box.
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When n or more points occur within a cube with side length l those points are replaced by the tightest fitting box possible. The tightest fitting box in one-dimension will always be a line. In higher dimensions, rectangles or boxes may be plotted.
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When or more points occur within the same cube described in the last paragraph, the box is emphasized by being plotted with thicker lines.
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If n or l are zero, or unspecified, default values will be used. The default value of n is the cube root of the number of points, divided by the number of dimensions of the data (that is, number of statistical lists passed as parameters). The default value for l is one-tenth the range of the x-coordinate data.
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Class data is converted to classmarks before generating the plot. Weighted data is accounted for. Missing data is ignored.
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The command with(stats[statplots]) allows the use of the abbreviated form of this command.
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Examples
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Important: The stats package has been deprecated. Use the superseding package Statistics instead.
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1-D case
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