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CVMGOF

Description: Returns the results of the Cramér-von Mises (CVM) goodness-of-fit test for the selected mode type. This function applies only when you use the Crow Extended model with non-grouped data types.

Syntax: CVMGGOF(Data_Src, Value_Index, Mode_Type, Signif_Level, [System_Index])

Data_Src is the source data sheet from which the value is calculated.

Value_Index is a numerical value that allows you to specify which result to display:
- To show whether the test passed or failed = 0.
- To return the test value = 1.
- To return the critical value = 2.

Mode_Type allows you to select the mode classification. It is shown in the function as a numerical value that indicates the selected mode: BC Modes = 1; BD Modes = 2; All Modes = 3.

Signif_Level is the significance level for the results.

System_Index is an optional value that applies to multiple systems analysis. It allows you to return test results for individual systems, if enough data exists for the system. For example, to obtain the results for System 1, enter 1. If you do not enter a system ID, the function will return results for the representative system (i.e., the equivalent system, superposition system or cumulative timeline).

Remarks:

The Data_Src can be one of the following values:

If using a default data source, it must be either 1, 2, 3 or 4, as selected from the Data Source Index drop-down list.
It can take a data sheet name (e.g., "Folio1!Data 1").
It can take a variable name defined in the Defined Names window (e.g., datasource).

If the critical value is less than the test value, then the CVM test passes.

Example:

CVMGOF (“Repairable System Analysis!Advanced View”,1,3,0.1,1) = 0.2281467143

Note that this value will vary depending on the source data set.