在可变图表中组合 For 循环和 Dispatch() 命令大家好，
我是 JMP 和一般编程的新手。 我目前的挑战：
我有一个包含 800 列的大型数据表。 现在我想使用变异性图表创建箱形图，但使用一个列表，我首先在其中定义我想使用的 800 列中的哪些列。 然后我创建一个 For 循环，如下所示。
让 concat 工作的正确语法是什么？
谢谢
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 )} )
)
//)
);
回复：在可变图表中组合 For 循环和 Dispatch() 命令您的代码片段不允许我找出问题所在。我最初的建议是关闭 JMP，然后重新启动它。在极少数情况下，JMP 会感到困惑。重新启动 JMP 将清除该内存。
如果您能提供完整的脚本和示例数据表，将会很有用。
回复：在可变图表中组合 For 循环和 Dispatch() 命令嗨，吉姆，
在编辑我的帖子 4-5 次后发生了一些事情，该网站说它需要在它变得可见之前进行审查，然后它就消失了。 这就是为什么我没有看到答案。
事实上，在发布最初的问题后，我做了一些愚蠢的事情并且它起作用了，所以我认为我已经解决了。 但后来我发现无论我在 Dispatch() 之后写什么（见下文），它都有效。
我将尝试弄清楚 Eval、Expr 和 Substitute 的实际作用。 多谢
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
...
...
...回复：在可变图表中组合 For 循环和 Dispatch() 命令这是您的代码的返工，使用了 JSL 中非常强大的功能，即 Substitution。我注释掉了您的 UpperSpec_log 参考行，因为我没有可用的列表。但是，如果您在运行变异性图表平台之前将它们作为列属性添加到列中，变异性图表平台将自动绘制这些规格限制。一旦将限制添加为列属性，许多平台将允许显示规格限制。
这是我修改后的代码
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] )
)
)
);
