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stats[statplots, scatterplot] - Excise Plot

Calling Sequence

stats[statplots, scatterplot](data, format=excised[p], ..)

statplots[scatterplot](data, format=excised[p], ..)

scatterplot(data, format=excised[p], ..)

Parameters

data

-

statistical list(s)

p

-

fraction of data points to remove from the plot

plotoptions

-

plot options

Description

• 

Important: The stats package has been deprecated. Use the superseding package Statistics instead.

• 

The function scatterplot with the format parameter format=excised of the subpackage stats[statplots] removes the fraction of least dense data and plots a scatterplot of the remaining data.

• 

This type of plot is often used 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 supposedly more representative, so all other points are excised.

• 

When p is a positive number between zero and one, p times the number of points are excised from the plot.  In other words only the 1pnumpoints most densely clustered points are plotted in the scatter plot.

• 

When p is a negative number between zero and -1, pnumpoints of the most densely clustered points are excised from the plot.  In this case 1pnumpoints of the least densely clustered points are plotted in the scatter plot.

• 

The default, when p is not specified is zero.  This plot is identical to a scatter plot with no format parameter.

• 

Relative density of points is calculated approximately by finding the distances between all points using the distance metric exp|p1p2|.

• 

Class data is converted to classmarks before generating the plot.  Weighted data is accounted for.  Missing data is ignored.

• 

The command with(stats[statplots]) allows the use of the abbreviated form of this command.

Examples

Important: The stats package has been deprecated. Use the superseding package Statistics instead.

withstats:

withstats[statplots]:

data1:=randomnormald30,randomnormald3,120:

data2:=randomnormald30,randomnormald3,120:

scatterplotdata1,data2,format=excised0.5

data3:=12.00,Weight10,3,8..9.5,9.67,11.11,10.34:

scatterplotdata3,format=excised

See Also

Statistics, Statistics[ScatterPlot], statplots(deprecated)[scatterplot], stats(deprecated)[data], stats(deprecated)[statplots]


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