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Proc Distribution		
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The following is an alphabetical list of the Distribution parameters.
Given are: the parameter name; the parameter data type; a default
value if any; and a description.  Especially important parameters
have a "**" in the right margin.

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Axdist:		{y,n}				: n		
  This parameter turns on axes distributions for scatterplots.  Axes
  distributions are little bar distributions on each of the axes.
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Axdist.length: 	-2 to 2				: 0.08		
  If Axdist is turned on, this sets length of the little bars. 
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Cluster:	{y,n}				: y			**
  If y, overlapping points are slightly offset to show duplicity.
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Idfield:	dfield				:		
  Each dot can be identified with a label from the data.  This gives 
  the field.
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Mark:		token				: sym6e		
  Symbol code (symNS) or character(s) for dots.
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Mark.field:	dfield 				: 		
  If specified, mark is contents of this field.  This is a handy way to
  show multi-variate distributions.
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Mark.font:	font 	 			: 		
  Font for points, if using characters.
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Mark.size:	charsize			: 6		
  Size (in points) for dots.
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Shadefield:	dfield 				:		
  It is possible to display an additional variable as dot color.  To do
  this, specify the data field number here, and specify a scaling factor in
  Shadescale.
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Shadescale:	number				:		
  Factor for scaling data to acceptable shade range (0..1).
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Sizefield:	dfield 				:		
  It is possible to display an additional variable as dot diameter.  To do
  this, specify the data field number here, and specify a scaling factor in
  Sizescale.
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Sizescale:	number				: 1		
  Factor for scaling data to acceptable size (4..20).
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Xfield:		dfield (M)			: 		        **
  X data comes from this field. 
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Yfield:		dfield				: 		        **
  Y data field.  If Yfield ommitted, a bar distribution is done.
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#
#   Produces either scatter plots (2-way) or bar distributions (1-way).
# For scatter plots, Xfield and Yfield must be specified.  For bar distributions,
# only Xfield needs to be specified.  If Axdist is set to y, little bar
# distributions will be put on each axis along with the scatter plot.
# Idfield can be used to print identifiers from the data as the scatter points.
#   The size, color, position, and dot marker can all be controlled from
# various data fields, allowing a number of multi-variate views.
