lazy.sasef {lazy.sasef}

R Documentation

lazy.sasef: Simulating SAS Estimable Functions for lazy boys and girls

Description

This package provides some functions which simulate SAS Estimable Functions

Design Matrix and Estimable Functions

• design_mat: Calculate various types of design matrix

• get_design_info: Get various information of the design matrix

• get_design_subset: Get a subset of design matrix

• saseff: Calculates symbolic SAS estimable functions in general form

• sasef: Calculates symbolic SAS estimable functions I, II or III

• sasef_I: Calculates symbolic SAS type I estimable functions

• sasef_II: Calculates symbolic SAS type II estimable functions

• sasef_III: Calculates symbolic SAS type IIII estimable functions

• compef: Comparison of Two Different Parametrization of a Linear Model

Calculation of SS

• calc_ss: Calculation of SS associated with SAS Estimable Functions

• calc_ss_r Calculation of SS associated with SAS Estimable Functions using Reduction notation

Data Sets

• db23: Balanced 2 x 3 Factorial Design

• du23: Unbalanced 2 x 3 Factorial Design

• db232: Balanced 2 x 3 x 2 Factorial Design

• du232: Unbalanced 2 x 3 x 2 Factorial Design

References

SAS Institute Inc. (2013) SAS/STAT 13.1 User's Guide :The Four Types of Estimable Functions. SAS/STAT 13.1 User's Guide. Cary, NC: SAS Institute Inc.

Goodnight, J.H. (1978) Tests of Hypotheses in Fixed-Effects Linear Models, Technical Report R-101, SAS Institute Inc., Cary, NC.

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