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
- :
- Discussions
- :
- Bivariate Power Coefficient Curve Fit in JMP

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
- Permalink
- Email to a Friend
- Report Inappropriate Content

Mar 18, 2013 8:00 AM
(2621 views)

I am trying to do a very simple Power Coefficient Fit in JMP. In excel it is very simple – therefore I know JMP has to be able to do it…but for the life of me I cannot figure it out.... any ideas would be greatly appreciated

Simple Data Set Example:

*Attatched*

Excel fit that I am trying replicate:

Solved! Go to Solution.

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Mar 18, 2013 10:34 AM
(4567 views)

You can use the Fit Model platform or Fit Special in the Fit Y by X platform. Fit Special is found under the red triangle in the Fit Y by X report. Choose log transform for both Y and X variables.

A scripting example:

Bivariate**(**

Y**(** :y axis **)**,

X**(** :X axis **)**,

Fit Special**(** xTran**(** "Log" **)**, yTran**(** "Log" **)**, **{**Line Color**(** **{****208**, **64**, **86****}** **)}** **)**

**);**

Results in the equation Log(y axis) = -2,178489 - 0,3877925*Log(X axis),

which is equivalent to y axis=0.1132 x axis^-0.388

2 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Mar 18, 2013 10:34 AM
(4568 views)

You can use the Fit Model platform or Fit Special in the Fit Y by X platform. Fit Special is found under the red triangle in the Fit Y by X report. Choose log transform for both Y and X variables.

A scripting example:

Bivariate**(**

Y**(** :y axis **)**,

X**(** :X axis **)**,

Fit Special**(** xTran**(** "Log" **)**, yTran**(** "Log" **)**, **{**Line Color**(** **{****208**, **64**, **86****}** **)}** **)**

**);**

Results in the equation Log(y axis) = -2,178489 - 0,3877925*Log(X axis),

which is equivalent to y axis=0.1132 x axis^-0.388

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Mar 18, 2013 11:33 AM
(2481 views)

Thanks MS, thank worked perfectly... you have no idea how long I was looking for that....