Using JMP - SAS

208 Formula Editor Chapter 7
Use Local Variables
Note: Another way to create local variables is to use the button on the Formula Editor keypad, which
automatically creates and displays local variables and places a semicolon after it. See “Add Operators” on
page 210, for details.
See “Use Local Variables in a Formula” on page 223, for an example of referencing local variables in a
formula.
Incorporate Parameters
Parameters are special types of local variables that are recognized as model parameters in some platforms,
such as Nonlinear fitting. They can be used in formulas just as ordinary local variables can.
To view examples of parameters:
1. In the Sample Data folder that was installed when you installed JMP, open the Nonlinear Examples
folder and then US Population.jmp.
2. Right-click the column name x-formula and select Formula.
3. Click the menu on the formula element browser and select Parameters.
Notes:
• After completing a nonlinear fit or after using the Reset button in the nonlinear control panel, the
parameter’s value is the most recent value computed by the nonlinear platform.
• Each time the fitting algorithm takes a step, the updated parameter values are shown in the Nonlinear
report.
• When you paste a formula with parameters into a column, the parameters are automatically created for
that column unless it has existing parameters with the same names.
To build a formula that references values found in parameters:
Step 1: Create the Parameter
1. Open the Formula Editor by right-clicking a column name in the data table and selecting Formula.
2. Make sure a term is selected (a red highlight is around it in the formula editing area) in the formula
editing area.
3. Click the menu on the formula element browser and select Parameters.
4. Click New Parameter.
5. Type a name for the parameter. By default, parameters have the names b0, b1, and so on, and have
missing values.
6. Assign a starting value. It is important to enter this value when using a parameter in a model for the
nonlinear platform. After completing a nonlinear fit, the parameter’s value is the most recent value
computed by the nonlinear platform.