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JMP14 腳本與舊版本的兼容性

你好呀，

 

我正在尋找是否有人可以就編寫腳本並使其與舊版本的 JMP 兼容提供一些建議。 最近，我一直在編寫一個腳本，該腳本將 cvs 文件轉換為 JMP 上的數據表，並將不同的列設置為具有不同的屬性（例如建模類型、公式等）。然而，它在使用 JMP14 的 PC 上運行良好當我的一位同事嘗試使用該腳本時，它不起作用。 我發現他正在使用 JMP13，並且當腳本運行時，它不會將建模類型更改為“標稱”，而是“連續”。

 

請參閱我用於建模轉換的腳本摘錄。

....
New Column( "DateTime",
   Numeric,
   "Nominal",
   Format( "y/m/d h:m"),
   Input Format( "y/m/d h:m:s", 3 )
  ),
....

 

如果有辦法使腳本兼容，我希望有人可以提供一些建議。 任何幫助將非常感激。

 

謝謝，

盧克

回复：JMP14 腳本與舊版本的兼容性

你好@Jeff_Perkinson ，我嘗試了你最近發送的兩種方法。

 

第一種方法似乎只適用於我的 JMP14 而不是 13，但是第二種方法（此消息是直接回复的方法）適用於兩個版本！

 

 

回复：JMP14 腳本與舊版本的兼容性

我的錯。 我沒有完全編輯以前的版本。 這個有沒有用：

 

jmpver = Num( Left( JMP Version(), 2 ) );
path = Get Default Directory(); 
f = Pick File( "Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, "" ); 

dt = Open( f );

If(
 jmp ver > 13, 
 // use string argument
 dt
  << New Column( "DateTime", Numeric, "Continuous", Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s") )
  << New Column( "NSR_ID", Character, "Nominal" )
  << New Column( "TaskId", Character, "Nominal" );
  // etc.
, 
 // use named argument
 dt
  << New Column( "DateTime", Numeric, Continuous, Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s") )
  << New Column( "NSR_ID", Character, Nominal )
  << New Column( "TaskId", Character, Nominal );
  // etc.
);

回复：JMP14 腳本與舊版本的兼容性

另一個想法，在這一點上，這只是一個智力練習，以弄清楚為什麼兩者的行為不同。 如果你想確保約會時間列是標稱的，您可以在 Open() 之後執行此操作，並且應該可以。

 

newdt = Open(
 "$SAMPLE_DATA/../Import Data/BigClass.txt",
 columns(
  New Column( "Name", Character, "Nominal" ),
  New Column( "Date",
   Numeric,
   "Continuous",
   Format( "m/d/y", 10 ),
  ),
  New Column( "Sex", Character, "Nominal" ),
  New Column( "height", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "weight", Numeric, "Continuous", Format( "Best", 12 ) )
 ),
 Import Settings(
  End Of Line( CRLF, CR, LF ),
  End Of Field( Tab, CSV( 0 ) ),
  Strip Quotes( 1 ),
  Use Apostrophe as Quotation Mark( 0 ),
  Use Regional Settings( 0 ),
  Scan Whole File( 1 ),
  Treat empty columns as numeric( 0 ),
  CompressNumericColumns( 0 ),
  CompressCharacterColumns( 0 ),
  CompressAllowListCheck( 0 ),
  Labels( 0 ),
  Column Names Start( 1 ),
  Data Starts( 1 ),
  Lines To Read( "All" ),
  Year Rule( "20xx" )
 )
);
<BR />//set modeling type after import
newdt:Date << set modeling type( "Nominal" );

回复：JMP14 腳本與舊版本的兼容性

這是在 JMP 14 和 JMP 13 中運行的另一個測試。 它適用於我：

 

Open(
 "$SAMPLE_DATA/../Import Data/BigClass.txt",
 columns(
  New Column( "Name", Character, "Nominal" ),
  New Column( "Date",
   Numeric,
   "Nominal",
   Format( "m/d/y", 10 ),
  ),
  New Column( "Sex", Character, "Nominal" ),
  New Column( "height", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "weight", Numeric, "Continuous", Format( "Best", 12 ) )
 ),
 Import Settings(
  End Of Line( CRLF, CR, LF ),
  End Of Field( Tab, CSV( 0 ) ),
  Strip Quotes( 1 ),
  Use Apostrophe as Quotation Mark( 0 ),
  Use Regional Settings( 0 ),
  Scan Whole File( 1 ),
  Treat empty columns as numeric( 0 ),
  CompressNumericColumns( 0 ),
  CompressCharacterColumns( 0 ),
  CompressAllowListCheck( 0 ),
  Labels( 0 ),
  Column Names Start( 1 ),
  Data Starts( 1 ),
  Lines To Read( "All" ),
  Year Rule( "20xx" )
 )
);

注意：該列將填充缺失值，因為它不是日期值。 沒關係，因為這不是我們要測試的。 我們只需要將列設為 Nominal 建模類型。

回复：JMP14 腳本與舊版本的兼容性

由此看來，添加更多列似乎是我的問題所在，因為我的原始方法使用 JMP13 中的以下腳本工作。

 

Open(dt,
columns(
  New Column( "DateTime",
   Numeric,
   "Nominal",
   Format( "y/m/d h:m"),
   Input Format( "y/m/d h:m:s", 3 )
  );
  
  
  
 );
 
);

回复：JMP14 腳本與舊版本的兼容性

你好@Jeff_Perkinson使用我的原始代碼，這似乎與您的相似。

 

path = Get Default Directory(); 
dt = Pick File("Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, ""); 
Open(dt,
columns(
  New Column( "DateTime",
   Numeric,
   "Nominal",
   Format( "y/m/d h:m"),
   Input Format( "y/m/d h:m:s", 3 )
  ),
  New Column( "NSR_ID", Character, "Nominal" ),
  New Column( "TaskId", Character, "Nominal" ),
  New Column( "TaskType", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "TaskCreateTime",
   Numeric,
   "Continuous",
   Format( "y/m/d h:m:s", 26, 3 ),
   Input Format( "y/m/d h:m:s", 3 )
  ),
  New Column( "RecipeFile", Character, "Nominal" ),
  New Column( "PureRecipeFile", Character, "Nominal" ),
  New Column( "Product", Character, "Nominal" ),
  New Column( "Layer", Character, "Nominal" ),
  New Column( "LotLabel", Character, "Nominal" ),
  New Column( "PureLotLabel", Character, "Nominal" ),
  New Column( "Reticle1", Character, "Nominal" ),
  New Column( "IllumId", Character, "Nominal" ),
  New Column( "ResultFile", Character, "Nominal" ),
  New Column( "ExpLogName", Character, "Nominal" ),
  New Column( "AtmPres", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "AtmPresTime",
   Numeric,
   "Continuous",
   Format( "y/m/d h:m:s", 26, 3 ),
   Input Format( "y/m/d h:m:s", 3 )
  ),
  New Column( "WCt", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "RepCt", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "AFZType", Character( 1 ), "Nominal" ),
  New Column( "MeasPos/X", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasPos/Y", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasPos/Rot", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasPos/Z", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasPos/TiltX", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasPos/TiltY", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasMode", Character( 1 ), "Nominal" ),
  New Column( "ScanVelocity", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "ScanLength", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "ScanDirection", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "ScanNum", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "MeasAveTime", Character( 1 ), "Nominal" ),
  New Column( "AsocPk", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "RefMeasDate", Character, "Nominal" ),
  New Column( "WTD_Z", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_Roll(ZF1)", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_Pitch(ZF12)", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_AF-Z(Ave_ZF12)",
   Numeric,
   "Continuous",
   Format( "Best", 12 )
  ),
  New Column( "IF_AIS-Z(ZB3)", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_AIS-Z(ZB3_Abbe)",
   Numeric,
   "Continuous",
   Format( "Best", 12 )
  ),
  New Column( "IF_ZF1", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_ZF2", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_ZF12", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "IF_ZB3", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Roll_ZF1", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Roll_ZF2", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Roll_ZF12", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Roll_ZB3", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Pitch_ZF12", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Pitch_ZF1ZB3", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "Pitch_ZF2ZB3", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "RetryCount", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "WaterRefInterp", Character, "Nominal" ),
  New Column( "OK/NG", Character, "Nominal" ),
  New Column( "G-ASOC_AFZ", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "WFMsens_Ave", Character( 1 ), "Nominal" ),
  New Column( "Ave", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "TiltX", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "TiltY", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "CurveX", Character( 1 ), "Nominal" ),
  New Column( "1", Character( 1 ), "Nominal" ),
  New Column( "2", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "3", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "4", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "5", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "6", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "7", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "8", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "9", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "10", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "11", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "12", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "13", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "14", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "15", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "16", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "17", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "18", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "19", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "20", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "21", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "22", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "23", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "24", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "25", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "26", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "27", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "28", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "29", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "30", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "31", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "32", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "33", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "34", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "35", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "36", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "37", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "38", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "39", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "40", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "41", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "42", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "43", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "44", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "45", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "46", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "47", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "48", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "49", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "50", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "51", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "52", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "53", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "54", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "55", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "56", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "57", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "58", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "59", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "60", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "61", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "62", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "63", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "64", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "65", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "66", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "67", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "68", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "69", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "70", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "71", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "72", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "73", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "74", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "75", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "76", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "77", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "78", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "79", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "80", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "81", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "82", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "83", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "AtmPres 2", Numeric, "Continuous", Format( "Best", 12 ) ),
  New Column( "AtmPresTime 2",
   Numeric,
   "Continuous",
   Format( "y/m/d h:m:s", 26, 3 ),
   Input Format( "y/m/d h:m:s", 3 )
  ),
  New Column( "AtmPresTimeDelta",
   Numeric,
   "Continuous",
   Format( "Best", 12 )
  ),
  New Column( "AtmPresEventID", Character, "Nominal" )
 ),
 Import Settings(
  End Of Line( CRLF, CR, LF ),
  End Of Field( Comma, CSV( 1 ) ),
  Strip Quotes( 0 ),
  Use Apostrophe as Quotation Mark( 0 ),
  Use Regional Settings( 0 ),
  Scan Whole File( 1 ),
  Treat empty columns as numeric( 0 ),
  CompressNumericColumns( 0 ),
  CompressCharacterColumns( 0 ),
  CompressAllowListCheck( 0 ),
  Labels( 1 ),
  Column Names Start( 1 ),
  Data Starts( 2 ),
  Lines To Read( "All" ),
  Year Rule( "20xx" )
 )
);

這可以使 JMP14 中的 DateTime“標稱”建模類型，但不是 13。

 

當使用您的簡化腳本時，它會創建正確類型的模型。

 

謝謝您的幫助

回复：JMP14 腳本與舊版本的兼容性

所有應有的尊重@Mark_Bailey ，但我認為問題不在於指定建模類型的參數樣式。

 

我嘗試了原始代碼：

 

dt = New Table();

dt << New Column( "DateTime",
 Numeric,
 "Nominal",
 Format( "y/m/d h:m" ),
 Input Format( "y/m/d h:m:s", 3 )
);

在 JMP 12、JMP 13 和 JMP 14 中，並在每種情況下都有一個標稱列。

 

我認為一定有其他事情發生。

 

@LukeFarrell ，您能否嘗試上面的簡化代碼，看看它是否在您的 JMP 14 機器和 JMP 13 的同事機器上創建了一個 Nominal 列？

 

如果確實如此，那麼您的（大概）較大的腳本中還有其他東西在干擾。 如果是這種情況，我們將需要有關更大腳本的更多詳細信息來幫助您。

回复：JMP14 腳本與舊版本的兼容性

再次感謝您的所有幫助，但我仍然遇到同樣的問題。 所以目前如果我使用 JMP14 或 13，DateTime 列仍然是連續的。

 

我不確定為什麼會這樣，因為我複制了您使用的方法，如下所示：

 

jmpver = Num( Left( JMP Version(), 2 ) );
path = Get Default Directory(); 
f = Pick File( "Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, "" ); 

dt = Open( f );

If(
 jmp ver > 13, 
 // use string argument
 dt <<  New Column( "DateTime", Numeric, "Nominal", Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s") );
 dt <<  New Column( "NSR_ID", Character, "Nominal" );
 dt << New Column( "TaskId", Character, "Nominal" );
\\\etc.

, 
 
 // use named argument
 dt << New Column( "DateTime", Numeric, Nominal, Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s" ) );
 dt <<  New Column( "NSR_ID", Character, "Nominal" );
 dt << New Column( "TaskId", Character, "Nominal" );
\\\etc.
);

 

回复：JMP14 腳本與舊版本的兼容性

你有正確的想法，但語法是錯誤的。 在不深入細節的情況下，您使用逗號分隔函數參數。 您將函數調用與分號粘合在一起。 所以 If() 函數調用應該用逗號分隔參數（布爾值、表達式、布爾值、表達式...）。 表達式可能涉及多個函數，因此在一個參數中，我們用分號將函數粘合在一起。 它可能看起來像這樣：

 

jmpver = Num( Left( JMP Version(), 2 ) );

path = Get Default Directory();

f = Pick File( "Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, "" ); 

dt = Open( path || f );

If(
 jmp ver > 13, 
 // use string argument
 dt << New Column( "Date Time", Numeric, "Nominal", Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) );
 dt << New Column( "Blah", Numeric, "Nominal", Values( ... ) );
 dt << New Column( "Blah Blah", Numeric, "Nominal", Values( ... ) );
 , 
 // use named argument
 dt << New Column( "Date Time", Numeric, Nominal, Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) );
 dt << New Column( "Blah", Numeric, Nominal, Values( ... ) );
 dt << New Column( "Blah Blah", Numeric, Nominal, Values( ... ) );
);

（請注意，我在 If() 函數中留下了第一個逗號以強調其用途。）

 

第一個表達式將三個 Send() 函數粘合在一起。 每個消息發送都會添加一個新列。

 

我希望這些信息具有啟發性而不是令人困惑！ JSL 有點不同的.

 

回复：JMP14 腳本與舊版本的兼容性

嗨，馬克，

再次感謝您的幫助。 然後，由於我有更多列，我應該將它們同時放入字符串參數和如下所示的名稱中嗎？

 

If(
 jmp ver > 13, 
 // use string argument
 dt << New Column( "DateTime", Numeric, "Nominal", Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) ),<BR />
        dt << New Column( "NSR_ID", Character, "Nominal" ),
\\and follows for the rest
  
 // use named argument
 dt << New Column( "DateTime", Numeric, Nominal, Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) ),

        dt << New Column( "NSR_ID", Character, "Nominal" ),
\\and follows for the rest
);

或者我可以像以前那樣做類似的方法嗎？

 

再次感謝，

盧克

回复：JMP14 腳本與舊版本的兼容性

我在想這樣簡單的事情：

 

jmpver = Num( Left( JMP Version(), 2 ) );

path = Get Default Directory();

f = Pick File( "Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, "" ); 

dt = Open( path || f );

If(
 jmp ver > 13, 
 // use string argument
 dt << New Column( "DateTime", Numeric, "Nominal", Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) ), 
 // use named argument
 dt << New Column( "DateTime", Numeric, Nominal, Format( "y/m/d h:m" ), Input Format( "y/m/d h:m:s", 3 ) ),
);

回复：JMP14 腳本與舊版本的兼容性

嗨，馬克，

 

由於我對 JMP 比較陌生，我不確定如何執行此操作。

 

這是可以使用的方法嗎？

 

jmpver = num(left(jmpversion(),2));
path = Get Default Directory(); 
dt = Pick File("Select .csv file with  data", path, {"Excel|csv;xlsx;xls", "JMP Files|jmp;jsl;jrn", "All Files|*"}, 1, 0, ""); 
Open(dt,
columns(
  New Column( "DateTime",
   Numeric,
   if(jmpver >= 14,
    "Nominal",
    /*else if*/ jmpver == 13,
    Nominal),
   Format( "y/m/d h:m"),
   Input Format( "y/m/d h:m:s", 3 )
  ),

.....

謝謝您的幫助，

盧克

回复：JMP14 腳本與舊版本的兼容性

不幸的是，我們必須改變一些參數作為參數傳遞的方式。 在您的情況下，指定數據列的建模類型的新的和首選的方法是“連續的” （一個字符串）。 此前，它是一個連續的（命名參數）。

 

好消息是您可以向 JMP 詢問其版本信息並使用如果（）函數來確定進行的最佳方式。