2.69.1 Identify Data Distribution

IDD

More information:

• Tutorial: Identify Data Distribution
• Algorithm: Identify Data Distribution

Introduction

With the Identify Data Distribution tool, we can

• Examine the distribution of your data, and estimate parameters for the distribution
• Compare the distributions to determine which is the best fit
• Perform transformation for your data to make your data closely resemble a normal distribution.

Origin provides 14 distributions and 3 transformation functions in this tool

Distributions

Symmetric

Normal	Logistic

Asymmetric

Lognormal 3-Parameter-Lognormal	Log-logistic	Weibull 3-Parameter Weibull	Gamma	Rayleigh

Special

Smallest Extreme Value	Largest Extreme Value	Exponential	Gaussian Mixture	Folded Normal

Transformation Functions

Processing

Select the icon to open dialog

Specify Input Data

Select the options in Input tab of the dialog according to how your data arranged

Data Arrangement	Options to specify
One dataset	Specify the data in columns as Measurement Data Select Subgroup Size By to be Constant, and set Subgroup Size Constant to be 1 Note: If you have data with subgroups and each subgroup size are the same, you can also use this option and set a proper value for the Subgroup Size Constant
Data with subgroups (indexed)	Specify the data in columns as Measurement Data Select Subgroup Size By to be Column, and set Subgroup Size Column to be the column with group info
Data with subgroups (raw) If the columns have different data size, right click on the row header of last row and select Set as End to push all the column having the same size	Specify data in multiple columns as Measurement Data Select Subgroups Arranged in Rows Across Columns check box

Choose Distribution/Transformations

Specify the distribution or transformation methods in the Distribution tab of the dialog. There are 15 distributions and 3 transformation methods in the list.

If selecting All in the Number of Distributions and Transformations dropdown list, all 18 models will be performed on data. Or, you can specify up to 4 models to be fit on your data.

If you select All or specify a transformation method, you can further specify the settings of transformations methods in the corresponding tab in the dialog