Filling missing values with a random number is often preferable to filling with a constant, such as the mean or median. If the distribution of a variable matches or nearly matches a known distribution, such as a uniform or normal distribution, one can use the functions in Modeler to generate random numbers, given the parameters needed to generate the random numbers.
In this recipe we will impute missing values with random distributions: uniform and normal.
This recipe uses the following files:
cup98lrn_variable cleaning random impute recipe.sav
Recipe - impute random with known random distribution.str
To impute missing values randomly ...