Cree columnas de forma iterativa que contengan fórmulas.Me gustaría recorrer las columnas que tienen límites de especificaciones y realizar análisis en función de ellas.
New Column("WM Minus Target", Numeric, "Continuous", Format("Best", 10), Formula(:WN - (:WN << get property("Spec Limits"))["Target"]), Set Selected);El script que se encuentra aquí se acerca a lo que quiero.
Resuelto: cuando una especificación está activada, ¿cómo escribo un script cuando quiero escribir un nombre de error? - Comunidad de usuarios de JMP
¿Me pregunto cómo conseguir la fórmula más complicada?
Gracias
llave inglesa
Automatización y secuencias de comandosRe: Crear columnas que contengan fórmulas de forma iterativa.Esta es una forma. Podría ser más elegante con una matriz asociativa en lugar de 2 listas, pero usar 2 listas me resulta más fácil de entender:
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Semiconductor Capability.jmp" );
lstCols = {};
lstTargets = {};
//get cols with targets
For Each( {i}, 1 :: N Col( dt ),
t = .;
Try( t = (Column( i ) << Get Property( "Spec Limits" ))["Target"], );
If( !Is Missing( t ),
Insert Into( lstCols, i );
Insert Into( lstTargets, t);
);
);
//make formulas
For Each( {i, j}, lstCols,
//i = 5; j = 1;
dt << New Column( char(Column Name( i )) || " Minus Target",
Numeric,
"Continuous",
Format( "Best", 10 ),
Formula( as column(Column( i )) - lstTargets[j] )
)
);
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Re: Crear columnas que contengan fórmulas de forma iterativa.Y aquí hay otra manera
Names Default To Here( 1 );
dt =
// Open Data Table: semiconductor capability.jmp
// → Data Table( "semiconductor capability" )
Open( "$SAMPLE_DATA/semiconductor capability.jmp" );
colNames = dt << get column names( continuous, string );
For each( {col}, colNames,
Eval(
Eval Expr(
theTarget = (Column( Eval( col ) ) << get property( "Spec Limits" ))["Target"];
New Column( Expr( col ) || " Minus Target",
Numeric,
"Continuous",
Format( "Best", 10 ),
Formula( As Column( Eval( col ) ) - Expr( theTarget ) )
);
)
);
);Re: Crear columnas que contengan fórmulas de forma iterativa.El código funciona, pero cuando miro la fórmula en la columna resultante se ve así.
As Column( Column( i ) ) - lstTargets[j]
Re: Crear columnas que contengan fórmulas de forma iterativa.Parece interesante, aunque me da un error. Nombre sin resolver: theTarget en acceso o evaluación de 'theTarget', theTarget/*###*/
Re: Crear columnas que contengan fórmulas de forma iterativa.No utilizar Eval(Evalexpr()) no permite la expansión completa del código de la fórmula antes de la ejecución. Pruebe mi código modificado a continuación
Names Default To Here( 1 );
dt =
// Open Data Table: semiconductor capability.jmp
// → Data Table( "semiconductor capability" )
Open( "$SAMPLE_DATA/semiconductor capability.jmp" );
colNames = dt << get column names( continuous, string );
For Each( {xcol}, colNames,
col = xcol;
theTarget = (Column( Eval( col ) ) << get property( "Spec Limits" ))["Target"];
Eval(
Eval Expr(
New Column( col || " Minus Target",
Numeric,
"Continuous",
Format( "Best", 10 ),
Formula( As Column( Eval( col ) ) - Expr( theTarget ) )
)
)
);
);Re: Crear columnas que contengan fórmulas de forma iterativa.La solución Eval() de Jim también debería ser similar a cómo hacer que la fórmula se muestre correctamente en mi ejemplo.
Re: Crear columnas que contengan fórmulas de forma iterativa.Dependiendo de su análisis, puede agregar una nueva columna para cada medición o apilar su tabla primero y crear una sola columna nueva.
Agregar nuevas columnas para cada parámetro
Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Semiconductor Capability.jmp");
cont_cols = dt << Get Column Names("Continuous", "String");
cols_created = {};
For Each({cont_col}, cont_cols,
specs = Column(dt, cont_col) << Get Property("Spec Limits");
If(Is Empty(specs), // skip columns without specs
Continue();
);
cur_target = Try(specs["Target"], .); // If target isn't set -> use 0 (could for example use USL - LSL?)
new_col = Eval(Substitute( // generally I use Eval(EvalExpr()) but in this case this makes expression more clear
Expr(dt << New Column(cont_col || " Minus Target", Numeric, Continuos, Formula(
_curcol_ - _targetval_
))),
Expr(_curcol_), Name Expr(AsColumn(dt, cont_col)),
Expr(_targetval_), cur_target
));
// new_col << Suppress Eval(1);
Insert Into(cols_created, new_col << get name);
);
y terminas con columnas como esta (el destino no se actualizará SI cambias la propiedad de la columna)
Apilado
Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Semiconductor Capability.jmp");
cont_cols = dt << Get Column Names("Continuous", "String");
ml = dt << Manage Limits(Process Variables(Eval(cont_cols))); // in this case this will open very annoying "help" window due to inconsistencies
dt_limits = ml << Save to Tall Limits Table;
ml << close window;
dt_stack = dt << Stack(
columns(Eval(cont_cols)),
Source Label Column("Measurement"),
Stacked Data Column("Data"),
Output Table("Data Stacked")
);
// If you don't care about LSL/USL they could be dropped from update
dt_stack << Update(
With(dt_limits),
Match Columns(:Measurement = :Variable),
Replace Columns in Main Table(None)
);
dt_stack << New Column("Data Minus Target", Numeric, Continuous, Formula(
:Data - :Target
));
Ambos formatos de datos tienen sus ventajas y desventajas, dependiendo de lo que estés haciendo.
Editar:
Esto debería obtener los valores de la propiedad de la columna PERO no se volverá a evaluar (realmente no usaría esto si puedes evitarlo)
Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Semiconductor Capability.jmp");
cont_cols = dt << Get Column Names("Continuous", "String");
cols_created = {};
For Each({cont_col}, cont_cols,
specs = Column(dt, cont_col) << Get Property("Spec Limits");
If(Is Empty(specs), // skip columns without specs
Continue();
);
new_col = Eval(Substitute( // generally I use Eval(EvalExpr()) but in this case this makes expression more clear
Expr(dt << New Column(cont_col || " Minus Target", Numeric, Continuos, Formula(
_curcol_ - (_curcol_ << Get Property("Spec Limits"))["Target"]
))),
Expr(_curcol_), Name Expr(AsColumn(dt, cont_col))
));
//new_col << Suppress Eval(1);
Insert Into(cols_created, new_col << get name);
);
