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Aug 27, 2010 7:42 AM
(1755 views)

For example, the fitted line is y=ax+b, how can i get a and b and save them into variables. When i try to use tree structure, it only shows the tree for first plot, and the command to grab values from boxes doesn't work.

Anyone knows how to do that? thanks in advance!

Message was edited by: Schweini

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Sep 7, 2010 11:42 PM
(2177 views)

Solution

This is a somewhat shorter method that uses the built in "make combined data table" command to produce a table containing all the parameters which you can slice and dice as required.

```
//Opendatatable and make report
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = Bivariate(
Y( :weight ),
X( :height ),
Fit Line( {Line Color( "Red" )} ),
By( :age )
);
rbiv = biv << report;
//Combine parameter estimates in new table
dtparms = rbiv[1][tablebox(4)] << make combined data table;
dtparms << Set Name("Parameter Table");
```

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Sep 1, 2010 2:17 AM
(1511 views)

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Sep 1, 2010 5:58 AM
(1511 views)

Here is an example script generating a table with the parameter estimates. The script assumes that the different plots are generated using the "by" command/box in the Bivariate platform.

```
//Open datatable and make report
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = Bivariate(
Y( :weight ),
X( :height ),
Fit Line( {Line Color( "Red" )} ),
By( :age )
);
rbiv = biv << report;
Summarize( groups = by( age ) ); // A list of all by-groups
n = N Items( groups );
//Create output table and fill with estimates
dtOut = New Table( "Regression parameters",
New Column( "Group", Character ),
New Column( "Intercept", numeric ),
New Column( "Slope", numeric ),
addrows( n ));
For( j = 1, j <= n, j++,
Estimates = rbiv[j]["Linear Fit"]["Parameter Estimates"][1][3] << get as matrix;
:Group[j] = groups[j];
:Intercept[j] = Estimates[1];
:Slope[j] = Estimates[2]);
```

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Sep 7, 2010 11:42 PM
(2178 views)

This is a somewhat shorter method that uses the built in "make combined data table" command to produce a table containing all the parameters which you can slice and dice as required.

```
//Opendatatable and make report
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = Bivariate(
Y( :weight ),
X( :height ),
Fit Line( {Line Color( "Red" )} ),
By( :age )
);
rbiv = biv << report;
//Combine parameter estimates in new table
dtparms = rbiv[1][tablebox(4)] << make combined data table;
dtparms << Set Name("Parameter Table");
```