DiagnosticStatistics

Diagnostic statistics for responses and local responses

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    Syntax

    S = DiagnosticStatistics(RESPONSE)
    S = DiagnosticStatistics(RESPONSE, STATS)
    S = DiagnosticStatistics(RESPONSE, TESTNUMBERS)
    S = DiagnosticStatistics(RESPONSE, TESTNUMBERS, STATS)

    Description

    S = DiagnosticStatistics(RESPONSE) for the responses in RESPONSE, returns S, a structural array containing Statistics and Names fields.

    S = DiagnosticStatistics(RESPONSE, STATS) allows you to specify STATS, an optional input that defines which diagnostic statistics you want from the available list. If you do not specify STATS, you get all available statistics.

    S = DiagnosticStatistics(RESPONSE, TESTNUMBERS) for local responses returns S for LOCALRESPONSE, a local response object. TESTNUMBERS specifies the index into tests for local or hierarchical models.

    S = DiagnosticStatistics(RESPONSE, TESTNUMBERS, STATS) allows you to specify which diagnostic statistics you want from the available list.

    A row is set to NaN if that point is removed.

    The options available are model-specific and are the same options shown in the drop-down menus of the scatter plots (the top plots) in the local and global (response feature) model views of the toolbox app.

    Input Arguments

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    Response or local response, specified as an mbcmodel.response object or mbcmodel.localresponse object.

    Diagnostic statistics names, specified as a cell array.

    Note

    These statistics are displayed in the scatter plots in the Model Browser.

    Index into tests for local or hierarchical models, specified as a real positive integer.

    Note

    The input argument, TESTNUMBERS, is only valid for local responses.

    Output Arguments

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    Statistics, returned as one of these values:

    • Structural array with Statistics and Names fields when you specify one input argument.

    • Double array when you specify statistics using the STATS input argument.

    Version History

    Introduced in R2006a

    See Also

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