Dimension Reduction - Diagnostic - Moonplot

Visualizes associations between categorical variables from a Correspondence Analysis, Principal Components Biplot or Linear Discriminant Analysis output. It is a simpler and easier to interpret alternative to a scatterplot.

Code

var __webpack_modules__ = ({});
// The module cache
var __webpack_module_cache__ = {};

// The require function
function __webpack_require__(moduleId) {

// Check if module is in cache
var cachedModule = __webpack_module_cache__[moduleId];
if (cachedModule !== undefined) {
return cachedModule.exports;
}
// Create a new module (and put it into the cache)
var module = (__webpack_module_cache__[moduleId] = {
exports: {}
});
// Execute the module function
__webpack_modules__[moduleId](module, module.exports, __webpack_require__);

// Return the exports of the module
return module.exports;

}

// webpack/runtime/rspack_version
(() => {
__webpack_require__.rv = () => ("1.7.2")
})();
// webpack/runtime/rspack_unique_id
(() => {
__webpack_require__.ruid = "bundler=rspack@1.7.2";
})();
var heading_text = "Moonplot";
if (!!form.setObjectInspectorTitle)
    form.setObjectInspectorTitle(heading_text);
else
    form.setHeading(heading_text);
form.dropBox({ name: "inputItem", label: "Output", types: ["R:CorrespondenceAnalysis,LDA,PCAbiplot"],
    prompt: "Output of Correspondence Analysis, Principal Components Analysis Biplot or Linear Discriminant Analysis" });

library(flipDimensionReduction)
moonplot <- QInputs(inputItem)
moonplot$output <- "Moonplot"
viz <- moonplot