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Dataplot Vol 2 Auxiliary Chapter

DIFFERENCE OF AAD

Name:
    DIFFERENCE OF AAD (LET)
Type:
    Let Subcommand
Purpose:
    Compute the difference between the average absolute deviations (AAD) for two response variables.
Description
    The average absolute deviation is defined as

      AAD = SUM(ABS(x-xbar))/n

    with xbar denoting the mean of the variable and n denoting the number of observations. This statistic is sometimes used as an alternative to the standard deviation.

    For the difference of average absolute deviations, the average absolute deviation is computed for each of two samples then their difference is taken.

Syntax:
    LET <par> = DIFFERENCE OF AAD <y1> <y2>             <SUBSET/EXCEPT/FOR qualification>
    where <y1> is the first response variable;
                <y2> is the first response variable;
                <par> is a parameter where the computed difference of the average absolute deviations is stored;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET A = DIFFERENCE OF AAD Y1 Y2
    LET A = DIFFERENCE OF AAD Y1 Y2 SUBSET X > 1
Note:
    The difference of average absolute deviations statistic is also supported for the following commands:

      DIFFERENCE OF AAD PLOT Y1 Y2 X
      CROSS TABULATE DIFFERENCE OF AAD PLOT Y1 Y2 X
      BOOTSTRAP DIFFERENCE OF AAD PLOT Y1 Y2
      TABULATE DIFFERENCE OF AAD Y1 Y2 X
      CROSS TABULATE DIFFERENCE OF AAD Y1 Y2 X
      LET Z = CROSS TABULATE DIFFERENCE OF AAD Y1 Y2 X1 X2

    Enter

      HELP STATISTIC PLOT
      HELP CROSS TABULATE PLOT
      HELP BOOTSTRAP PLOT
      HELP TABULATE
      HELP CROSS TABULATE
      HELP CROSS TABULATE (LET)

    for more information on these plots and commands.

Default:
    None
Synonyms:
    AVERAGE ABSOLUTE DEVIATION is a synonym for AAD.
Related Commands:
    AAD = Compute the average absolute deviation.
    MAD = Compute the median absolute deviation.
    STANDARD DEVIATION = Compute the standard deviation.
    DIFFERENCE OF MAD = Compute the difference of median absolute deviations.
    DIFFERENCE OF SD = Compute the difference of standard deviations.
    DIFFERENCE OF BIWEIGHT SCALE = Compute the difference of biweight scales.
    DIFFERENCE OF BIWEIGHT MIDVARIANCES = Compute the difference of biweight midvariances.
    STATISTICS PLOT = Generate a statistic versus subset plot.
    CROSS TABULATE PLOT = Generate a statistic versus two subsets plot.
    BOOTSTRAP PLOT = Generate a bootstrap plot.
    TABULATE = Perform a tabulation for a specified statistic.
    CROSS TABULATE = Perform a cross tabulation for a specified statistic.
Applications:
    Data Analysis
Implementation Date:
    3/2002
Program:
    SKIP 25 
    READ IRIS.DAT Y1 TO Y4 X 
    . 
    LET A = DIFFERENCE OF AAD Y1 Y2 
    TABULATE DIFFERENCE OF AAD Y1 Y2 X 
    . 
    XTIC OFFSET 0.2 0.2 
    X1LABEL GROUP ID 
    Y1LABEL DIFFERENCE OF AAD 
    CHAR X 
    LINE BLANK 
    DIFFERENCE OF AAD PLOT Y1 Y2 X 
    CHAR X ALL 
    LINE BLANK ALL 
    BOOTSTRAP DIFFERENCE OF AAD PLOT Y1 Y2 X  
        
    Dataplot generated the following output.
           ***************************************
           **  LET A = DIFFERENCE OF AAD Y1 Y2  **
           ***************************************
      
      
     THE COMPUTED VALUE OF THE CONSTANT A             =  0.35400003E+00
      
      
           ******************************************
           **  TABULATE DIFFERENCE OF AAD Y1 Y2 X  **
           ******************************************
      
      
                     *    Y1       AND Y2
         X           *    DIFFERENCE OF AVERAGE ABSOLUTE
     **********************************************
         1.00000     *   -0.140000E-01
         2.00000     *    0.170000
         3.00000     *    0.254000
      
           GROUP-ID AND STATISTIC WRITTEN TO FILE DPST1F.DAT
        
    plot generated by sample program

    plot generated by sample program

Date created: 3/27/2003
Last updated: 4/4/2003
Please email comments on this WWW page to alan.heckert@nist.gov.