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SLICE Statement
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The SURVEYREG Procedure

  • Overview
  • Getting Started Getting Started
    Simple Random Sampling Stratified Sampling Output Data Sets
  • Syntax Procedure Syntax
    PROC SURVEYREG Statement BY Statement CLASS Statement CLUSTER Statement CONTRAST Statement DOMAIN Statement EFFECT Statement ESTIMATE Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement OUTPUT Statement REPWEIGHTS Statement SLICE Statement STORE Statement STRATA Statement TEST Statement WEIGHT Statement
  • Details Procedure Details
    Missing Values Survey Design Information Computational Details Variance Estimation Testing Domain Analysis Computational Resources Output Data Sets Displayed Output ODS Table Names ODS Graphics
  • Examples Procedure Examples
    Simple Random Sampling Cluster Sampling Regression Estimator for Simple Random Sample Stratified Sampling Regression Estimator for Stratified Sample Stratum Collapse Domain Analysis Compare Domain Statistics Variance Estimate Using the Jackknife Method
  • References
 
SLICE Statement

SLICE model-effect </ options> ;

The SLICE statement provides a general mechanism for performing a partitioned analysis of the LS-means for an interaction. This analysis is also known as an analysis of simple effects.

The SLICE statement uses the same options as the LSMEANS statement, which are summarized in Table 19.20. For details about the syntax of the SLICE statement, see the section SLICE Statement of Chapter 19, Shared Concepts and Topics.

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