turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Exponential Curve Fitting

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 4, 2014 8:40 AM
(1962 views)

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 6, 2014 10:44 AM
(3566 views)

Solution

Instead of using the Fit Curve personality of Nonlinear, you can use the Custom Model personality (Help Index: Nonlinear Platform, Custom Models).

1. Create a column formula (say in column MyFormula) with ** parameters** a, b and c: a + b*exp(c*Time)

2. In the initial Nonlinear dialog Put MyFormula in the X, Predictor Formula box and %Knock Down in the Y, Response box. Then click OK.

3. In the second Nonlinear dialog you can click the red triangle by Nonlinear Fit and choose the first item, Parameter Bounds. You will then have the opportunity to supply Lower and/or Upper bounds for each of a, b, and c.

2 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 6, 2014 10:44 AM
(3567 views)

Instead of using the Fit Curve personality of Nonlinear, you can use the Custom Model personality (Help Index: Nonlinear Platform, Custom Models).

1. Create a column formula (say in column MyFormula) with ** parameters** a, b and c: a + b*exp(c*Time)

2. In the initial Nonlinear dialog Put MyFormula in the X, Predictor Formula box and %Knock Down in the Y, Response box. Then click OK.

3. In the second Nonlinear dialog you can click the red triangle by Nonlinear Fit and choose the first item, Parameter Bounds. You will then have the opportunity to supply Lower and/or Upper bounds for each of a, b, and c.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 6, 2014 12:36 PM
(1783 views)

Thank you. This nonlinear custom model definitley brought me to a new place in JMP.