Calculates a formula table for expected mean square of the given contrast. The default is for Type III SS.

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

EMS function

<dl> <dt>Formula</dt>
<dd>a conventional formula for a linear model</dd> <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd> <dt>Type</dt>
<dd>type of sum of squares. The default is 3. Type 4 is not supported yet.</dd> <dt>eps</dt>
<dd>Less than this value is considered as zero.</dd>
 
</dl>

Arguments

Author

Expected Mean Square Formula — EMS

<dl>

 <dt>Formula</dt>
<dd>a conventional formula for a linear model</dd>

 <dt>Data</dt>
<dd>a <code>data.frame</code> to be analyzed</dd>

 <dt>Type</dt>
<dd>type of sum of squares. The default is 3. Type 4 is not supported yet.</dd>

 <dt>eps</dt>
<dd>Less than this value is considered as zero.</dd>
 
</dl>

EMS: Expected Mean Square Formula

Description

Usage

Value

Arguments

Author

Details

Examples