49130_ko-KR

liliconcom

가변성 차트에서 For 루프와 Dispatch() 명령 결합

여러분, 안녕하세요,

 

저는 일반적으로 JMP 및 프로그래밍을 처음 사용합니다. 나의 현재 도전:

 

800개의 열이 있는 큰 데이터 테이블이 있습니다. 이제 가변성 차트를 사용하여 상자 그림을 만들고 싶지만 목록을 사용하여 먼저 800개 중에서 사용하고 싶은 열을 정의합니다. 그런 다음 아래와 같이 For 루프를 만듭니다.

 

concat이 작동하도록 하는 적절한 구문은 무엇입니까?

 

감사해요

Datalist_log = {Test1, Test2, Test33, Test50}; //first I define the list with the tests I Need. It needs to be like this in the code.

imax = N Items( Datalist );

//Boxplots
For( i = 1, i <= imax, i++, 
 Variability Chart(
  Y( Datalist_log[i] ), //Loop cycling through the list putting the respective column on the Y axis
  X( :wafernr ),
  Max Iter( 100 ),
  Conv Limit( 0.00000001 ),
  Number Integration Abscissas( 128 ),
  Number Function Evals( 65536 ),
  Analysis Type( "Choose best analysis (EMS REML Bayesian)" ),
  Std Dev Chart( 1 ),
  Show Box Plots( 1 ),
  SendToReport(
   Dispatch(
    {"Variability Chart for Test1"}, <BR />// This is how it looks when it works. <BR />//But I need to replace the hard coded string with an element from<BR />//the list defined above as a part of the Loop, for example:
    {"Variability Chart for " ||Datalist_log[i]}, <BR />//This is my most promising attempt. But I have failed to understand how the concat works.
//If i manually change the argument to <BR />//{"Variability Chart for XYSomethingElse"}, the outcome is the same, meaning that the <BR />//formatting commands (lot plot, scientific axis etc.) that follow are all ignored.
    "2",
    ScaleBox,
    {Scale( "Log" ), Format( "Scientific", 12 ), Min( 0.0000000001 ), Max( 0.000001 ), Inc( 1 ), Minor Ticks( 0 ),
    Add Ref Line( UpperSpec_log[i], "Dotted", "Black", "USL", 2 )}
   ),
   Dispatch(
    {"Variability Chart for Test1"},
    "Variability Chart",
    FrameBox,
    {Frame Size( 600, 240 ), Marker Size( 1 ), 
    DispatchSeg( Box Plot Seg( 1 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ), 
    DispatchSeg( Box Plot Seg( 2 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 3 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 4 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 5 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 6 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 7 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 8 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 9 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 10 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 11 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 12 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 13 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 14 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 15 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 16 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 17 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 18 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 19 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 20 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 21 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 22 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 23 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 24 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
    DispatchSeg( Box Plot Seg( 25 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} )}
   ),
   Dispatch( {"Variability Chart for Test1"}, "", NomAxisBox, {Set Width( 573 ), Set Height( 21 )} ),
   Dispatch( {"Variability Chart for Test1"}, "Varability Std Chart", FrameBox, {Frame Size( 559, 180 )} )
  )
 //)
);

 

 

Re: 가변성 차트에서 For 루프와 Dispatch() 명령 결합

코드 스니펫으로 문제를 파악할 수 없습니다.초기 제안은 JMP를 종료한 다음 다시 시작하는 것입니다.드물지만 JMP가 혼동되는 경우가 있습니다.JMP를 다시 시작하면 해당 메모리가 지워집니다.

 

전체 스크립트와 샘플 데이터 테이블을 제공할 수 있다면 유용할 것입니다.

Re: 가변성 차트에서 For 루프와 Dispatch() 명령 결합

안녕 짐,

 

내 게시물을 4-5번 수정한 후 문제가 발생하여 사이트에서 검토해야 표시되기 전에 사라졌습니다. 그래서 답을 보지 못했습니다.

 

사실, 초기 질문을 게시한 후 엉뚱한 짓을 했고 효과가 있었기 때문에 잘 풀렸다고 생각했습니다. 그러나 Dispatch() 이후에 무엇을 작성하든 관계없이 작동한다는 것을 알았습니다(아래 참조).

 

Eval, Expr 및 Substitute가 실제로 무엇을 하는지 알아내려고 노력할 것입니다. 정말 감사합니다

For( q = 1, q <= kmax, q++,  
 Variability Chart(
  Y( Datalist_log[q] ),
  X( :wafernr ),
  Max Iter( 100 ),
  Conv Limit( 0.00000001 ),
  Number Integration Abscissas( 128 ),
  Number Function Evals( 65536 ),
  Analysis Type( "Choose best analysis (EMS REML Bayesian)" ),
  Std Dev Chart( 1 ),
  Show Box Plots( 1 ),
  Disp_String = concat Items ({VarChartText,Datalist_log[q]}), //This is useless
  SendToReport(
   Dispatch(Disp_stringxyuz12034823048, //Does not matter what I write here
    "2",
    ScaleBox,
    {Scale( "Log" ), Format( "Scientific", 12 ), Min( 0.0000000001 ), Max( 0.000001 ), Inc( 1 ), Minor Ticks( 0 ),
    Add Ref Line( UpperSpec_log[q], "Dotted", "Black", "USL", 2 )}
    ),
   Dispatch(Disp_Stringsomethingelse,
    "Variability Chart",
    FrameBox,
    {Frame Size( 600, 240 ), Marker Size( 1 ), 
    DispatchSeg( Box Plot Seg( 1 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ), 
    DispatchSeg( Box Plot S
...
...
...

Re: 가변성 차트에서 For 루프와 Dispatch() 명령 결합

다음은 JSL의 매우 강력한 기능인 대체를 사용하여 코드를 재작업한 것입니다.사용 가능한 목록이 없었기 때문에 UpperSpec_log 참조 라인을 주석 처리했습니다.그러나 가변성 차트 플랫폼은 가변성 차트 플랫폼을 실행하기 전에 해당 사양 제한을 열에 열 속성으로 추가하는 경우 해당 사양 제한을 자동으로 표시합니다.제한이 열 속성으로 추가되면 많은 플랫폼에서 사양 제한을 표시할 수 있습니다.

재 작업 된 코드는 다음과 같습니다.

Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA\Semiconductor Capability.jmp" );
Try(dt:Wafer << Set Name( "wafernr" ));

Datalist_log = {NPN1, PNP1, NPN2}; //first I define the list with the tests I Need. It needs to be like this in the code.

imax = N Items( Datalist_log );

//Boxplots
For( i = 1, i <= imax, i++,
 Eval(
  Substitute(
    Expr(
     Variability Chart(
      Y( __DataList__ ), //Loop cycling through the list putting the respective column on the Y axis
      X( :wafernr ),
      Max Iter( 100 ),
      Conv Limit( 0.00000001 ),
      Number Integration Abscissas( 128 ),
      Number Function Evals( 65536 ),
      Analysis Type( "Choose best analysis (EMS REML Bayesian)" ),
      Std Dev Chart( 1 ),
      Show Box Plots( 1 ),
      SendToReport(
       Dispatch(
        {__VarChart__}, 
        // This is how it looks when it works. 
        //But I need to replace the hard coded string with an element from
        //the list defined above as a part of the Loop, for example:
        //{"Variability Chart for " || Datalist_log[i]}, 
        //This is my most promising attempt. But I have failed to understand how the concat works.
        //If i manually change the argument to 
        //{"Variability Chart for XYSomethingElse"}, the outcome is the same, meaning that the 
        //formatting commands (lot plot, scientific axis etc.) that follow are all ignored.
        "2",
        ScaleBox,
        {Scale( "Log" ), Format( "Scientific", 12 ), Min( 0.0000000001 ), Max( 0.000001 ), Inc( 1 ), Minor Ticks( 0 )//,
        //Add Ref Line( UpperSpec_log[i], "Dotted", "Black", "USL", 2 )
         
        }
       ),
       Dispatch(
        {__VarChart__},
        "Variability Chart",
        FrameBox,
        {Frame Size( 600, 240 ), Marker Size( 1 ), DispatchSeg(
         Box Plot Seg( 1 ),
         {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )}
        ), DispatchSeg( Box Plot Seg( 2 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 3 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 4 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 5 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 6 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 7 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 8 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 9 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 10 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 11 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 12 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 13 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 14 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 15 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 16 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 17 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 18 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 19 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 20 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 21 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 22 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 23 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 24 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} ),
        DispatchSeg( Box Plot Seg( 25 ), {Box Type( "Outlier" ), Line Color( "Red" ), Line Width( 2 )} )}
       ),
       Dispatch( {__VarChart__}, "", NomAxisBox, {Set Width( 573 ), Set Height( 21 )} ),
       Dispatch( {__VarChart__}, "Varability Std Chart", FrameBox, {Frame Size( 559, 180 )} )
      )
     )
    ),
   Expr( __DataList__ ), Parse( ":" || Char( DataList_Log[i] ) ),
   Expr( __VarChart__ ), "Variability Chart for " || Char( DataList_Log[i] )
  )
 )
);