
INTERACTION PLOTName:
When there are more than two factor variables, then all the pairwise combinations of the factor variables can be used with the INTERACTION PLOT. This shows all the 2term interaction effects. This type of plot is referred to as a DEX INTERACTION PLOT. This is in fact the most common use of this command (i.e., the INTERACTION PLOT command is used to generate a DEX INTERACTION PLOT). For example, a MEAN DEX INTERACTION PLOT with five factor variables can be generated with the following commands:
LINE BLANK SET MATRIX PLOT TYPE MEAN DEX INTERACTION MATRIX PLOT Y X1 X2 X3 X4 X5 Enter HELP SCATTER PLOT MATRIX for the details. There are two variations of this command. In the first, the raw data for Y is plotted. In the second, a statistic for the distinct values of X1*X2*...*Xk is plotted.
where <y> is the response (= dependent) variable; <x1 ... xk> is a list of from 1 to k factor (=independent variables); and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax is used to plot the raw data for <y>.
<SUBSET/EXCEPT/FOR qualification> where <stat> is one of the following statistics:
SUM, PRODUCT, SIZE (or NUMBER or SIZE), STANDARD DEVIATION, STANDARD DEVIATION OF MEAN, AVERAGE ABSOLUTE DEVIATION (or AAD), MEDIAN ABSOLUTE DEVIATION (or MAD), VARIANCE, VARIANCE OF THE MEAN, RELATIVE STANDARD DEVIATION, RELATIVE VARIANCE (or COEFFICIENT OF VARIATION), RANGE, MIDRANGE, MAXIMUM, MINIMUM, EXTREME, LOWER HINGE, UPPER HINGE, LOWER QUARTILE, UPPER QUARTILE, <FIRST/SECOND/THIRD/FOURTH/FIFTH/SIXTH/ SEVENTH/EIGHTH/ NINTH/TENTH> DECILE, SKEWNESS, KURTOSIS, NORMAL PPCC, AUTOCORRELATION, AUTOCOVARIANCE, SINE FREQUENCY, SINE AMPLITUDE, CP, CPK, EXPECTED LOSS, PERCENT DEFECTIVE, TAGUCHI SN0 (or SN), TAGUCHI SN+ (or SNL), TAGUCHI SN (or SNS), TAGUCHI SN00 (or SN2); <x1 ... xk> is a list of from 1 to k factor (=independent variables); and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax is used for statistics that require a single variable to compute.
where <stat> is one of the following statistics:
<y2> is the second response (= dependent) variable; <x1 ... xk> is a list of from 1 to k factor (=independent variables); and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax is used for satatistics that require two variables to compute. If a linear fit is performed, the first variable is the dependent variable while the second variable is the independent variable.
MEAN INTERACTION PLOT Y X1 X2 STANDARD DEVIATION INTERACTION PLOT Y X1 X2
read boxbike2.dat y x1 to x7 . xtic offset 0.2 0.2 ytic offset 2 2 char x line blank y1label y xlimtis 1 1 major xtic mark number 2 minor xtic mark number title automatic . interaction plot y x1 x2
mean interaction plot y x1 x2
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Date created: 06/05/2001 Last updated: 12/04/2023 Please email comments on this WWW page to alan.heckert@nist.gov. 