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Apr 6, 2017 11:02 AM
(1722 views)

I'm trying to create a distribution plot from a column of data and fit a continuous distribution to it. The type of distribution I want to fit is variable, but known within the script. I can't for the life of me figure out how to pass a variable as the type of distribution to fit in Fit Distribution()

So far I've tried

fit_type = "Normal"; Distribution( Column( :data ), Fit Distribution( fit_type ) );

As well as

fit_type = "Normal"; Distribution( Column( :data ), EvalExpr( Fit Distribution( Expr(fit_type) ) ) );

And even

fit_type = "Normal"; string_expr = "Fit Distribution ( " || fit_type || " )"; Distribution( Column( :data ), EvalExpr( Expr( string_expr ) ) );

But none of these work. Any ideas out there?

Solved! Go to Solution.

1 ACCEPTED SOLUTION

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Apr 6, 2017 1:11 PM
(3248 views)

Here is one way to do it:

```
fit_type = "Normal";
Eval(
Substitute(
Expr(
Distribution(
Continuous Distribution( Column( :NPN1 ), Fit Distribution( __fit_type__ ) )
)
),
Expr( __fit_type__ ), Parse( fit_type )
)
);
```

Jim

2 REPLIES

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Apr 6, 2017 1:11 PM
(3249 views)

Here is one way to do it:

```
fit_type = "Normal";
Eval(
Substitute(
Expr(
Distribution(
Continuous Distribution( Column( :NPN1 ), Fit Distribution( __fit_type__ ) )
)
),
Expr( __fit_type__ ), Parse( fit_type )
)
);
```

Jim

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Apr 6, 2017 2:31 PM
(1699 views)

That works. Seems more convoluted than it should be.

I have a Distribution() window with multiple Continuous Distribution() in it, and putting the Substitute around it all works well.

Thanks!