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DIFFERENCE OF MADName:
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.
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.
LET A = DIFFERENCE OF MAD Y1 Y2 SUBSET X > 1
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 CROSS TABULATE PLOT HELP BOOTSTRAP PLOT HELP TABULATE HELP CROSS TABULATE HELP CROSS TABULATE (LET) for more information on these plots and commands.
SKIP 25
READ IRIS.DAT Y1 TO Y4 X
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LET A = DIFFERENCE OF MAD Y1 Y2
TABULATE DIFFERENCE OF MAD Y1 Y2 X
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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.
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** LET A = DIFFERENCE OF MAD Y1 Y2 **
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THE COMPUTED VALUE OF THE CONSTANT A = 0.39999986E+00
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** TABULATE DIFFERENCE OF MAD Y1 Y2 X **
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* Y1 AND Y2
X * DIFFERENCE OF MEDIAN ABSOLUTE
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1.00000 * -0.500002E-01
2.00000 * 0.150000
3.00000 * 0.200000
GROUP-ID AND STATISTIC WRITTEN TO FILE DPST1F.DAT
Date created: 3/27/2003 |