Regression - Save Variable(s) - Residuals

Creates a new variablevariable containing residual values for each case in the data from a model (e.g., from Regression - Linear Regressionlinear regression). Observations with missing values in the predictors are not fitted.

Output

Running this QScript will produce a new variablevariable, which will appear in your data setdata set for use in further analyses.

Technical details

The residuals are the difference between the Regression - Save Variable(s) - Predicted Valuespredicted values and the observed values. For many models, this differs from the resid method from R. Unlike the defaults in most R packages, this implementation assigns predicted values for observations not in the estimation sample.

References

Bock, T. (2018, August 3) What are Residuals? [Blog post]. Accessed from https://www.displayr.com/learn-what-are-residuals/.

Code

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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";
})();
includeWeb('QScript R Output Functions');

saveVariables('Residuals', 'Regression', 'resid(', ')', null, null, 'resid.val', 'Regression');