Regression - Save Variable(s) - Predicted Values
Create a new variable containing predicted values for each case in the data from a regression
Creates a new variable containing predicted values for each case in the data from a regression . Observations with missing values in the predictors are not predicted.
Output
Running this QScript will produce a new variable , which will appear in your data set for use in further analyses. For a categorical outcome (Regression - Ordered Logit, Regression - Binary Logit, Regression - Multinomial Logit ) the variable will be categorical containing the predicted category for each observation.
Technical details
Uses the predict method from R. Unlike the defaults in most R packages, this implementation assigns predicted values for observations not in the estimation sample. Categorical variables are predicted as discrete (e.g., in Regression - Binary Logit , the predicted values are of the two categories). See Regression - Save Variable(s) - Fitted Values for non-discrete value predictions.
Code
includeWeb("QScript R Output Functions");
main();
function main() {
saveVariables("Predicted values", "Regression", "predict(", ")", null, null, "pred.val", "Regression");
}
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