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Col>modelling utilities> explore outlier scripting

HI All,

I have a question. Is it possible to have jsl script for" Col>modelling utilities> explore outlier" ?

Thanks

Ram

15 REPLIES 15

Re: Col>modelling utilities> explore outlier scripting

Hello, Wendy. thanks for response.

Will be looking forward to see the full script functionality for this.

Rgds

Ram

johnm
Level III

Re: Col>modelling utilities> explore outlier scripting

Hello,

 

I very much like this outlier feature.

I understand there is limited scripting to this point in time.

In looking at the tree structure, I understand how to 'click' on a selection box.

But is there a way to select (click) a variable listed in the Column in the "OutlineBox(4): Robust Estimates and Outliers" ?

 

Thanks,
John

Re: Col>modelling utilities> explore outlier scripting

Hi, John.

JMP 13 introduced more JSL support for Explore Outliers.  See the Scripting Index (Help > Scripting Index) for details.  However if you have not yet updated to JMP 13, you can still select rows by navigating to the TableBox.  Below is an example to demonstrate:

 

Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Water Treatment.jmp" );
dt << Select Column Group( "Sensor Measurements" );
obj = dt << Explore Outliers( Quantile Range Outliers( 1 ) );

Report( obj )[Table Box( 1 )] << Set Selected Rows( [1, 2] );

Hope that helps!

 

Wendy
johnm
Level III

Re: Col>modelling utilities> explore outlier scripting

Hi Wendy,



Yes, this is exactly what I was wanting to know how to do.



Thanks very much,

John


ghartel
Level III

Re: Col>modelling utilities> explore outlier scripting

So, how owuld you do this in version 13? When I say reort(obj) << change to missing(); it says 'select a column...'. I could do the table box thing you showed, but I don't know how many columns will have missing values, or what their names would be.  What the best way of scripting that in 13?

thanks

ghartel
Level III

Re: Col>modelling utilities> explore outlier scripting

I did the following but hoped something more elgant was available:

EO = Explore Outliers(
        Y( Eval( VariableList ) ),
        Show only columns with outliers( 1 ),
        Quantile Range Outliers
) << journal;
n = n items(Report( EO )[Table Box( 1 )][1] << get );
If( n,
        Report( EO )[Table Box( 1 )] << Set Selected Rows( 1 :: n );
        EO << Change to Missing();
);