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使用“by”參數進行 JSL 雙變量分析，group-by + fit 作為循環（？）

親愛的社區，

 

目前，我正在嘗試使用 JSL 自動執行幾個重複的 JMP 例程。 我的表經過數百行代碼後現在是我想要的形式，但我在 JSL 中進行了一個簡單的雙變量分析，但失敗了:(

作為一個例子，我附上了一個簡化的表格。 如果你點擊它是：

• X = ：天，Y = ：讀數，By = ：分類
• => SHIFT 熱按鈕 => 分組依據：個人 => SHIFT 熱按鈕 => 適合每個值

從編輯器複製的結果代碼是：

Bivariate(
 SendToByGroup( {Is Missing( :Classification )} ),
 Y( :Readout ),
 X( :Days ),
 SendToByGroup(
  {Is Missing( :Classification )},
  Fit Where(
   :Individuals == "Ind7",
   Fit Each Value( {Line Color( {212, 73, 88} )} )
  ),
  Fit Where(
   :Individuals == "Ind22",
   Fit Each Value( {Line Color( {66, 112, 221} )} )
  )
 ),
 SendToByGroup(
  {:Classification == "A"},
  Fit Where(
   :Individuals == "Ind2",
   Fit Each Value( {Line Color( {212, 73, 88} )} )
  ),
  Fit Where(
   :Individuals == "Ind4",
   Fit Each Value( {Line Color( {61, 174, 70} )} )
  ),
  Fit Where(
   :Individuals == "Ind5",
   Fit Each Value( {Line Color( {66, 112, 221} )} )
  ),
  Fit Where(
   :Individuals == "Ind6",
   Fit Each Value( {Line Color( {204, 121, 41} )} )
  ),
  Fit Where(
   :Individuals == "Ind8",
   Fit Each Value( {Line Color( {40, 182, 143} )} )
  ),
  Fit Where(
   :Individuals == "Ind9",
   Fit Each Value( {Line Color( {162, 43, 221} )} )
  ),
  Fit Where(
   :Individuals == "Ind12",
   Fit Each Value( {Line Color( {196, 189, 43} )} )
  ),
  Fit Where(
   :Individuals == "Ind14",
   Fit Each Value( {Line Color( {39, 174, 174} )} )
  ),
  Fit Where(
   :Individuals == "Ind15",
   Fit Each Value( {Line Color( {197, 41, 201} )} )
  ),
  Fit Where(
   :Individuals == "Ind24",
   Fit Each Value( {Line Color( {142, 176, 40} )} )
  ),
  Fit Where(
   :Individuals == "Ind28",
   Fit Each Value( {Line Color( {40, 154, 190} )} )
  )
 ),
 SendToByGroup(
  {:Classification == "B"},
  Fit Where(
   :Individuals == "Ind1",
   Fit Each Value( {Line Color( {212, 73, 88} )} )
  ),
  Fit Where(
   :Individuals == "Ind11",
   Fit Each Value( {Line Color( {61, 174, 70} )} )
  ),
  Fit Where(
   :Individuals == "Ind16",
   Fit Each Value( {Line Color( {66, 112, 221} )} )
  ),
  Fit Where(
   :Individuals == "Ind17",
   Fit Each Value( {Line Color( {204, 121, 41} )} )
  ),
  Fit Where(
   :Individuals == "Ind21",
   Fit Each Value( {Line Color( {40, 182, 143} )} )
  ),
  Fit Where(
   :Individuals == "Ind23",
   Fit Each Value( {Line Color( {162, 43, 221} )} )
  ),
  Fit Where(
   :Individuals == "Ind25",
   Fit Each Value( {Line Color( {196, 189, 43} )} )
  ),
  Fit Where(
   :Individuals == "Ind26",
   Fit Each Value( {Line Color( {39, 174, 174} )} )
  ),
  Fit Where(
   :Individuals == "Ind27",
   Fit Each Value( {Line Color( {197, 41, 201} )} )
  )
 ),
 SendToByGroup(
  {:Classification == "C"},
  Fit Where(
   :Individuals == "Ind20",
   Fit Each Value( {Line Color( {212, 73, 88} )} )
  )
 ),
 SendToByGroup(
  {:Classification == "D"},
  Fit Where(
   :Individuals == "Ind3",
   Fit Each Value( {Line Color( {212, 73, 88} )} )
  ),
  Fit Where(
   :Individuals == "Ind10",
   Fit Each Value( {Line Color( {61, 174, 70} )} )
  ),
  Fit Where(
   :Individuals == "Ind13",
   Fit Each Value( {Line Color( {66, 112, 221} )} )
  ),
  Fit Where(
   :Individuals == "Ind18",
   Fit Each Value( {Line Color( {204, 121, 41} )} )
  ),
  Fit Where(
   :Individuals == "Ind19",
   Fit Each Value( {Line Color( {40, 182, 143} )} )
  )
 ),
 By( :Classification )
);

我現在的問題是，如果我像這樣硬編碼該腳本，則該腳本將無法與將添加到此表中的新個人一起使用。 我還意識到我必須以某種形式使用列表和 For() 循環。

 

對於列表，我開始如下：

//Writes only the different individual values of column :Classification into a variable
 classlist = dt:"Classification" << Get values;
 classvalues = Associative Array(classlist) << Get Keys;
 
//Writes only the different individual values of column :Individuals into a variable
 IDlist = dt:"Individuals" << Get values;
 IDvalues = Associative Array(IDlist) << Get Keys;

但不幸的是，我現在如何正確處理 For() 循環，我不知道......

 

有人有任何想法或可以幫助我嗎？

 

高級統計建模視窗回复：使用“by”參數進行 JSL 雙變量分析，group-by + fit 作為循環（？）

我幾乎為我的問題感到羞愧...... 我已經只見樹木不見森林了。

 

 

 

回复：使用“by”參數進行 JSL 雙變量分析，group-by + fit 作為循環（？）

這是一個大類示例，我認為它可以滿足您的需求。  

names default to here(1);
dt = open("$SAMPLE_DATA\Big Class.jmp");
dt << Bivariate(
 Y( :weight ),
 X( :height ),
 GroupBy(:sex),
 By( :age ), 
 FitLine(1)
);<BR />