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 do not necessarily mean incorrectness. However, many want the same results as '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

SS function

<dl> <dt>x</dt>
<dd>a result of <code>ModelMatrix</code> containing design information</dd> <dt>rx</dt>
<dd>a result of <code>lfit</code></dd> <dt>L</dt>
<dd>linear hypothesis, a full matrix matching the information in <code>x</code></dd> <dt>eps</dt>
<dd>Values less than this are considered as zero.</dd></dl>

Arguments

Author

Sum of Square — SS

<dl>

 <dt>x</dt>
<dd>a result of <code>ModelMatrix</code> containing design information</dd>

 <dt>rx</dt>
<dd>a result of <code>lfit</code></dd>

 <dt>L</dt>
<dd>linear hypothesis, a full matrix matching the information in <code>x</code></dd>

 <dt>eps</dt>
<dd>Values less than this are considered as zero.</dd>

</dl>

SS: Sum of Square

Description

Usage

Value

Arguments

Author

Details

See Also