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How do I define spec limits by data category in variability chart
Hi,
How can I draw spec limits(red line) by data category in variability chart as below example? The red line was done by manual in pptx.
Attach jmp file data for reference. Appreciate for your reply. Thanks.
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Re: How do I define spec limits by data category in variability chart
Names Default To Here(1);
dt1 = Open("$DOWNLOADS/sample data.jmp");
dt = dt1 << Stack( // stack to get proper data format
columns(:A10, :A20, :A30),
Source Label Column("SampleGroup"),
Output Table("Stack")
);
// Add limits as they were not provided
dt << New Column("LSL", Numeric, Continuous, Values([10, 10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 20]));
dt << New Column("Target", Numeric, Continuous, Values([20, 20, 20, 20, 20, 20, 20, 20, 20, 40, 40, 40, 40, 40, 40, 40, 40, 40]));
dt << New Column("USL", Numeric, Continuous, Values([30, 30, 30, 30, 30, 30, 30, 30, 30, 50, 50, 50, 50, 50, 50, 50, 50, 50]));
var = dt << Variability Chart(Y(:Data), X(:Phase, :SampleGroup));
dt_summary = dt << Summary(
Group(:Phase),
Max(:LSL),
Mean(:Target),
Min(:USL),
N Categories(:SampleGroup),
Freq("None"),
Weight("None"),
statistics column name format("column"),
Link to original data table(0)
);
dt_summary << Delete Columns("N Rows");
// We need access to the framebox
fb = Report(var)[Outline Box("Variability Chart for Data"), Frame Box(1)];
//Get phases count (this was missing)
Summarize(dt, phases = By(:Phase));
// Using graphic scripts most likely easiest option
xidx = 0;
For(i = 1, i <= N Items(phases), i++,
curphase = dt_summary[i, "Phase"];
curlsl = dt_summary[i, "LSL"];
curusl = dt_summary[i, "USL"];
curtarget = dt_summary[i, "Target"];
curcount = dt_summary[i, "SampleGroup"];
xend = xidx + curcount;
lslstart = Eval List({xidx, curlsl});
lslend = Eval List({xend, curlsl});
uslstart = Eval List({xidx, curusl});
uslend = Eval List({xend, curusl});
targetstart = Eval List({xidx, curtarget});
targetend = Eval List({xend, curtarget});
xidx = xend;
Eval(EvalExpr(
fb << Add Graphics Script(
Pen Color("Red");
Pen Size(1);
Line(Expr(lslstart), Expr(lslend)); // {x1, y1}, {x2, y2}
Line(Expr(uslstart), Expr(uslend)); // {x1, y1}, {x2, y2}
Pen Color("Blue");
Line(Expr(targetstart), Expr(targetend)); // {x1, y1}, {x2, y2}
);
));
);
fb << Y Axis(Max(1.1*Max(Col Max(Column(dt, "Data")), Col Max(Column(dt_summary, "USL"))))); // adjust yaxis
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Re: How do I define spec limits by data category in variability chart
Does Varying spec limits by data category in variability chart give some ideas?
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Re: How do I define spec limits by data category in variability chart
Hi jthi,
I checked and followed steps, but it still didn't work, even directly used its attachment file and script.
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Re: How do I define spec limits by data category in variability chart
Using your data (+ adding limits) and making small fix to the script from that thread
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Re: How do I define spec limits by data category in variability chart
Hi jthi,
You did indeed draw the chart I wanted, but I still don't know how to modify the script. Anyway, thanks for your reply
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Re: How do I define spec limits by data category in variability chart
Names Default To Here(1);
dt1 = Open("$DOWNLOADS/sample data.jmp");
dt = dt1 << Stack( // stack to get proper data format
columns(:A10, :A20, :A30),
Source Label Column("SampleGroup"),
Output Table("Stack")
);
// Add limits as they were not provided
dt << New Column("LSL", Numeric, Continuous, Values([10, 10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 20]));
dt << New Column("Target", Numeric, Continuous, Values([20, 20, 20, 20, 20, 20, 20, 20, 20, 40, 40, 40, 40, 40, 40, 40, 40, 40]));
dt << New Column("USL", Numeric, Continuous, Values([30, 30, 30, 30, 30, 30, 30, 30, 30, 50, 50, 50, 50, 50, 50, 50, 50, 50]));
var = dt << Variability Chart(Y(:Data), X(:Phase, :SampleGroup));
dt_summary = dt << Summary(
Group(:Phase),
Max(:LSL),
Mean(:Target),
Min(:USL),
N Categories(:SampleGroup),
Freq("None"),
Weight("None"),
statistics column name format("column"),
Link to original data table(0)
);
dt_summary << Delete Columns("N Rows");
// We need access to the framebox
fb = Report(var)[Outline Box("Variability Chart for Data"), Frame Box(1)];
//Get phases count (this was missing)
Summarize(dt, phases = By(:Phase));
// Using graphic scripts most likely easiest option
xidx = 0;
For(i = 1, i <= N Items(phases), i++,
curphase = dt_summary[i, "Phase"];
curlsl = dt_summary[i, "LSL"];
curusl = dt_summary[i, "USL"];
curtarget = dt_summary[i, "Target"];
curcount = dt_summary[i, "SampleGroup"];
xend = xidx + curcount;
lslstart = Eval List({xidx, curlsl});
lslend = Eval List({xend, curlsl});
uslstart = Eval List({xidx, curusl});
uslend = Eval List({xend, curusl});
targetstart = Eval List({xidx, curtarget});
targetend = Eval List({xend, curtarget});
xidx = xend;
Eval(EvalExpr(
fb << Add Graphics Script(
Pen Color("Red");
Pen Size(1);
Line(Expr(lslstart), Expr(lslend)); // {x1, y1}, {x2, y2}
Line(Expr(uslstart), Expr(uslend)); // {x1, y1}, {x2, y2}
Pen Color("Blue");
Line(Expr(targetstart), Expr(targetend)); // {x1, y1}, {x2, y2}
);
));
);
fb << Y Axis(Max(1.1*Max(Col Max(Column(dt, "Data")), Col Max(Column(dt_summary, "USL"))))); // adjust yaxis
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Re: How do I define spec limits by data category in variability chart
Hi jthi,
Thanks for your script, it's worked successfully.
Regarding the limit setting below, if I have up to 100 data and only add limit line on dedicated "Phase", are there any solutions to optimize the following script? Thanks
// Add limits as they were not provided
dt << New Column("LSL", Numeric, Continuous, Values([10, 10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 20]));
dt << New Column("Target", Numeric, Continuous, Values([20, 20, 20, 20, 20, 20, 20, 20, 20, 40, 40, 40, 40, 40, 40, 40, 40, 40]));
dt << New Column("USL", Numeric, Continuous, Values([30, 30, 30, 30, 30, 30, 30, 30, 30, 50, 50, 50, 50, 50, 50, 50, 50, 50]));
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Re: How do I define spec limits by data category in variability chart
You could create spec limit table or if you don't have too many parameters, associative array for that
Names Default To Here(1);
dt1 = Open("$DOWNLOADS/sample data.jmp");
dt = dt1 << Stack( // stack to get proper data format
columns(:A10, :A20, :A30),
Source Label Column("SampleGroup"),
Output Table("Stack")
);
aa_specs = [
"L1" => ["LSL" => 10, "USL" => 30, "Target" => 20],
"L2" => ["LSL" => 30, "USL" => 50, "Target" => 40]
];
// Add limits as they were not provided
dt << New Column("LSL", Numeric, Continuous);
dt << New Column("Target", Numeric, Continuous);
dt << New Column("USL", Numeric, Continuous);
For Each Row(dt,
:LSL = aa_specs[:Phase]["LSL"];
:USL = aa_specs[:Phase]["USL"];
:Target = aa_specs[:Phase]["Target"];
);
Or using spec table
Names Default To Here(1);
dt1 = Open("$DOWNLOADS/sample data.jmp");
dt = dt1 << Stack( // stack to get proper data format
columns(:A10, :A20, :A30),
Source Label Column("SampleGroup"),
Output Table("Stack")
);
dt_specs = New Table("Specs",
Add Rows(2),
Compress File When Saved(1),
New Column("Variable", Character, "Nominal", Set Values({"L1", "L2"})),
New Column("LSL", Numeric, "Continuous", Format("Best", 12), Set Values([10, 30])),
New Column("Target", Numeric, "Continuous", Format("Best", 12), Set Values([20, 40])),
New Column("USL", Numeric, "Continuous", Format("Best", 12), Set Values([30, 50]))
);
dt << Update(
With(dt_specs),
Match Columns(:Phase = :Variable)
);
Close(dt_specs, no save);
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Re: How do I define spec limits by data category in variability chart
Hi jthi,
It worked when I used method1.
Assuming I want L2 to not have USL/LSL, how can I optimize it?
I tried setting value= 0, but a red line will show at the Y-zero position.
I put //"L2" => ["LSL" => 0, "USL" => 0, //"Target" => 40]
, it's not work.
aa_specs = [
"L1" => ["LSL" => 10, "USL" => 30, "Target" => 20],
"L2" => ["LSL" => 0, "USL" => 0, //"Target" => 40]
];
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Re: How do I define spec limits by data category in variability chart
I would set the value as missing if you don't wish to have it and I think it should work with the script.
Names Default To Here(1);
dt1 = Open("$DOWNLOADS/sample data.jmp");
dt = dt1 << Stack( // stack to get proper data format
columns(:A10, :A20, :A30),
Source Label Column("SampleGroup"),
Output Table("Stack")
);
aa_specs = [
"L1" => ["LSL" => 10, "USL" => 30, "Target" => 20],
"L2" => ["LSL" => 30, "USL" => ., "Target" => .]
];
// Add limits as they were not provided
dt << New Column("LSL", Numeric, Continuous);
dt << New Column("Target", Numeric, Continuous);
dt << New Column("USL", Numeric, Continuous);
For Each Row(dt,
:LSL = aa_specs[:Phase]["LSL"];
:USL = aa_specs[:Phase]["USL"];
:Target = aa_specs[:Phase]["Target"];
);
var = dt << Variability Chart(Y(:Data), X(:Phase, :SampleGroup));
dt_summary = dt << Summary(
Group(:Phase),
Max(:LSL),
Mean(:Target),
Min(:USL),
N Categories(:SampleGroup),
Freq("None"),
Weight("None"),
statistics column name format("column"),
Link to original data table(0)
);
dt_summary << Delete Columns("N Rows");
// We need access to the framebox
fb = Report(var)[Outline Box("Variability Chart for Data"), Frame Box(1)];
//Get phases count (this was missing)
Summarize(dt, phases = By(:Phase));
// Using graphic scripts most likely easiest option
xidx = 0;
For(i = 1, i <= N Items(phases), i++,
curphase = dt_summary[i, "Phase"];
curlsl = dt_summary[i, "LSL"];
curusl = dt_summary[i, "USL"];
curtarget = dt_summary[i, "Target"];
curcount = dt_summary[i, "SampleGroup"];
xend = xidx + curcount;
lslstart = Eval List({xidx, curlsl});
lslend = Eval List({xend, curlsl});
uslstart = Eval List({xidx, curusl});
uslend = Eval List({xend, curusl});
targetstart = Eval List({xidx, curtarget});
targetend = Eval List({xend, curtarget});
xidx = xend;
Eval(EvalExpr(
fb << Add Graphics Script(
Pen Color("Red");
Pen Size(1);
Line(Expr(lslstart), Expr(lslend)); // {x1, y1}, {x2, y2}
Line(Expr(uslstart), Expr(uslend)); // {x1, y1}, {x2, y2}
Pen Color("Blue");
Line(Expr(targetstart), Expr(targetend)); // {x1, y1}, {x2, y2}
);
));
);
fb << Y Axis(Max(1.1*Max(Col Max(Column(dt, "Data")), Col Max(Column(dt_summary, "USL"))))); // adjust yaxis
You could also modify the script slightly and make sure it ignores those which have missing values, but it might not be necessary