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Dataplot Vol 2 Auxiliary Chapter

DIFFERENCE OF MAD

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

      MAD = MEDIAN(ABS(x-xmed))

    where xmed is the median of the variable. This statistic is sometimes used as an alternative to the standard deviation.

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

Syntax:
    LET <par> = DIFFERENCE OF MAD <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 median absolute deviations is stored;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET A = DIFFERENCE OF MAD Y1 Y2
    LET A = DIFFERENCE OF MAD Y1 Y2 SUBSET X > 1
Note:
    The difference of median absolute deviations statistic is also supported for the following commands:

      DIFFERENCE OF MAD PLOT Y1 Y2 X
      CROSS TABULATE DIFFERENCE OF MAD PLOT Y1 Y2 X
      BOOTSTRAP DIFFERENCE OF MAD PLOT Y1 Y2
      TABULATE DIFFERENCE OF MAD Y1 Y2 X
      CROSS TABULATE DIFFERENCE OF MAD Y1 Y2 X
      LET Z = CROSS TABULATE DIFFERENCE OF MAD 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:
    MEDIAN ABSOLUTE DEVIATION is a synonym for MAD.
Related Commands:
    MAD = Compute the median absolute deviation.
    AAD = Compute the average absolute deviation.
    STANDARD DEVIATION = Compute the standard deviation.
    DIFFERENCE OF AAD = Compute the difference of average absolute deviations.
    DIFFERENCE OF SD = Compute the difference of standard deviations.
    DIFFERENCE OF BIWEIGHT SCALE = Compute the difference of biweight scales.
    DIFFERENCE OF BIWEIGHT MIDVARIANCE = 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:
    3/2003
Program:
    SKIP 25 
    READ IRIS.DAT Y1 TO Y4 X 
    . 
    LET A = DIFFERENCE OF MAD Y1 Y2 
    TABULATE DIFFERENCE OF MAD Y1 Y2 X 
    . 
    XTIC OFFSET 0.2 0.2 
    X1LABEL GROUP ID 
    Y1LABEL DIFFERENCE OF MAD 
    CHAR X 
    LINE BLANK 
    DIFFERENCE OF MAD PLOT Y1 Y2 X 
    CHAR X ALL 
    LINE BLANK ALL 
    BOOTSTRAP DIFFERENCE OF MAD PLOT Y1 Y2 X  
        
    Dataplot generated the following output.
           ***************************************
           **  LET A = DIFFERENCE OF MAD Y1 Y2  **
           ***************************************
      
      
     THE COMPUTED VALUE OF THE CONSTANT A             =  0.39999986E+00
      
      
           ******************************************
           **  TABULATE DIFFERENCE OF MAD Y1 Y2 X  **
           ******************************************
      
      
                     *    Y1       AND Y2
         X           *    DIFFERENCE OF MEDIAN ABSOLUTE
     **********************************************
         1.00000     *   -0.500002E-01
         2.00000     *    0.150000
         3.00000     *    0.200000
      
           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.