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使用 For 循環創建擬合組二元圖

我想要一個簡單的 for 循環來創建與沒有 for 循環相同的圖表，而不是使用硬編碼的列名作為輸入。

 

dt = Open("C:\Program Files\SAS\JMP\15\Samples\Data\semiconductor capability.jmp");
Y_parameters = {"NPN1", "NPN2", "NPN3"};
X_parameters = {"PNP1", "PNP2", "PNP3"};

Fit Group(
 //For i:
  //For j:
   Bivariate( Y( As Column(dt, Y_parameters[i]) ), X( As Column(dt, X_parameters[j])) ),
  //end For j:
 //end For i
 
 //Want to replace the hard coded Y and X parameters with above for loop
 Bivariate( Y( :NPN1 ), X( :PNP1 ) ),
 Bivariate( Y( :NPN1 ), X( :PNP2 ) ),
 Bivariate( Y( :NPN1 ), X( :PNP3 ) ),
 Bivariate( Y( :NPN2 ), X( :PNP1 ) ),
 Bivariate( Y( :NPN2 ), X( :PNP2 ) ),
 Bivariate( Y( :NPN2 ), X( :PNP3 ) ),
 Bivariate( Y( :NPN3 ), X( :PNP1 ) ),
 Bivariate( Y( :NPN3 ), X( :PNP2 ) ),
 Bivariate( Y( :NPN3 ), X( :PNP3 ) ),
 <<{Arrange in Rows( 3 )}
);

腳本編寫回复：使用 For 循環創建擬合組二元圖

如果你想獲得所有組合，我認為你可以使用

Names Default To Here(1);

dt = Open("$SAMPLE_DATA/Semiconductor Capability.jmp");
Y_parameters = {"NPN1", "NPN2", "NPN3"};
X_parameters = {"PNP1", "PNP2", "PNP3"};

Fit Group(
 Bivariate( Y(Eval(Y_parameters)), X(Eval(x_parameters))),
 <<{Arrange in Rows( 3 )}
);