Choice Modeling - Diagnostic - Class Parameters Table extension

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Produce a table of class parameters from a latent class analysis

Produces an R output table of parameters from a latent class analysis choice model outputlatent class analysis choice model output.

Example

How to apply this QScript

  • Start typing the name of the QScript into the Search features and data box in the top right of the Q window.
  • Click on the QScript when it appears in the QScripts and Rules section of the search results.

OR

  • Select Automate > Browse Online Library.
  • Select this QScript from the list.

Customizing the QScript

This QScript is written in JavaScript and can be customized by copying and modifying the JavaScript.

Customizing QScripts in Q4.11 and more recent versions

  • Start typing the name of the QScript into the Search features and data box in the top right of the Q window.
  • Hover your mouse over the QScript when it appears in the QScripts and Rules section of the search results.
  • Press Edit a Copy (bottom-left corner of the preview).
  • Modify the JavaScript (see QScripts for more detail on this).
  • Either:
    • Run the QScript, by pressing the blue triangle button.
    • Save the QScript and run it at a later time, using Automate > Run QScript (Macro) from File.

Customizing QScripts in older versions

  • Copy the JavaScript shown on this page.
  • Create a new text file, giving it a file extension of .QScript. See here for more information about how to do this.
  • Modify the JavaScript (see QScripts for more detail on this).
  • Run the file using Automate > Run QScript (Macro) from File.

JavaScript

includeWeb("QScript R Output Functions");

var is_displayr = (!!Q.isOnTheWeb && Q.isOnTheWeb());
if (!is_displayr)
{
    if (Q.fileFormatVersion() >= 17.13)
        main();
    else
        alert("Please update Q to use this feature from the extension button, or run it from the menu via Automate > Browse Online Library > Choice Modeling > Diagnostic > Class Parameters.");
}
else
{
    main();
}

function main() {

    // The following 2 variables contain information specific to this diagnostic.
    var required_class = "FitChoice";
    var output_name_suffix = "class.parameters";
    
    var item = checkSelectedItemClass(required_class);
    if (item == null)
        return false;
    var r_name = stringToRName(item.referenceName);

    // The following lines contain the R code to run
    var expression = "r.name <- " + r_name + "$coef";

    return createROutput(item, expression, output_name_suffix);
}

Acknowledgements

Uses the rstan R package.

See also

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