fitcmpdata

1 Menu Information
2 Brief Information
3 Additional Information
4 Variables
5 Description
6 Examples
7 Algorithm
8 Related X-Functions

Menu Information

Compare Datasets

Brief Information

Compare two datasets to the same fit model

Additional Information

It is not accessible from script. This feature is for OriginPro only.

Variables

Fit Result1 & Fit Result2

Specifies fit report sheets fitted with the same model and different dataset. Click browse button to bring up Report Tree browser and select related report sheet.

Additional Outputs

Fit Parameters	Select to decide whether to output Fit Parameter table for each dataset
Fit Statistics	Select to decide whether to output Fit Statistics table for each dataset

Results

The output report worksheet.

Description

This tool compares two datasets by fitting the same function. It is used to determine whether two datasets are significantly different from each other for the same fitting model. Thus, the tool determines if the two datasets are representative samples from the same population or not.

To use this tool, please pay attention to following

Input for this tool is fit report sheets (Linear Fit, Polynomial, Nonlinear Curve Fit, etc). So fit tools need to be run before you use this tool

When use the fit tool, please set recalculate mode of fit tools as Auto or Manual

Only the 1^st result in report sheet can be found. So we need to ensure that results are in separate sheet when fitting multiple datasets.

Examples

Suppose we have 2 datasets and would like to see whether they are different for same model,

Operation

1. Import Exponential Decay.dat on \Samples\Curve Fitting folder.

2. Highlight Col(B), select Analysis: Fitting: Nonlinear Curve Fit to open dialog. Set Function as ExpDec1. Click OK to get result sheet.

3. Highlight Col(C) and select Analysis: Fitting: Nonlinear Curve fit: 1<last used> to quick fit Col(C) with same model.

4. Select Analysis: Fitting: Compare Datasets to open dialog.

5. Click browse button to open Report Tree Browser and select 1 item for Fit Result1.

6. Repeat same operation to select another item for Fit Result2.

7. Select Fit Parameters and Fit Statistics and click OK.

8. From F-test table, we can roughly draw conclusion that Col(B) and Col(C) are different when fit with expDec1 model.

Algorithm

F Statistic:

Where

RSS1 is residual sum of square of fit with 1^st dataset, RSS2 is residual sum of square of fit with 2^nd dataset. SSRcombined is residual sum of square of fit with combined data of 1^st dataset and 2^nd dataset.

Prob:

Related X-Functions

fitcmpmodel