This plot shows the correlation coefficients of the selected input and output parameters respectively. The bar chart plot displays the correlation coefficients of all output parameters, if an input parameter is selected. The selected input parameter builds the underlying regression model. The selection of an output parameter leads to a sorted bar chart plot with correlation coefficients of single input parameter regression models for all input parameters.

Preferences

The following preference settings are available:

For more details, see Plot Preference Settings.

Python Scripting

Create Visual

Creates a linear correlation coefficients plot using data with data_id.

    lin_corr_coeff = Visuals.LinearCorrelationCoefficient(
        Id("Linear Correlation Coefficients"),
        data_id
    )
                            

Add to Postprocessing

Adds linear correlation coefficients plot in postprocessing to control_container, using the specified relative positioning.

    control_container.add_control (
        lin_corr_coeff,
        True,
        RELATIVE_POSITIONING,
        0, 0, 1/2., 70/100.
    )