Replace Missing Values Task :: SAS(R) Studio 3.4: User's Guide

About the Replace Missing Values Task

The Replace Missing Values task replaces missing values in a data set with an estimate of the missing value. The task also creates binary imputation indicators.

Note: You must have SAS/STAT to use this task.

Assigning Data to Roles

Role	Description
Roles
Replace missing values with the mean	replaces missing values with the mean for the variable.
Replace missing values with the pseudo-median	replaces missing values with the pseudo-median of the variable. If there is no nonmissing value, the pseudo-median is 0.
Replace missing values with a random number	replaces missing values with a random value that is drawn between the minimum and maximum of the variable. If there is no nonmissing value, the random value is 0.
Additional Roles
Frequency count	specifies a numeric variable that contains the frequency of occurrence for each observation. If the frequency value is less than 1 or is missing, the observation is not used in the analysis. If no variable is assigned to the Frequency count role, each observation is assigned a frequency of 1.

Setting the Output Options

On the Output tab, you can specify whether to create an output data set. This output data set includes the data, imputation indicator variables (0 for not imputed or 1 for imputed), and imputed variables. You can also include any variables from the input data set.