tsum

Summarize a continuous dependent variable with or without independent variables.

Table Summary

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

tsum function

<dl> <dt>Formula</dt>
<dd>a conventional formula</dd> <dt>Data</dt>
<dd>a data.frame or a matrix</dd> <dt>ColNames</dt>
<dd>If there is no Formula, this will be used.</dd> <dt>MaxLevel</dt>
<dd>More than this will not be handled.</dd> <dt>...</dt>
<dd>arguments to be passed to <code>tsum0</code>, <code>tsum1</code>, <code>tsum2</code>, or <code>tsum3</code></dd></dl>

Arguments

Author

Table Summary — tsum

<dl>

 <dt>Formula</dt>
<dd>a conventional formula</dd>

 <dt>Data</dt>
<dd>a data.frame or a matrix</dd>

 <dt>ColNames</dt>
<dd>If there is no Formula, this will be used.</dd>

 <dt>MaxLevel</dt>
<dd>More than this will not be handled.</dd>

 <dt>...</dt>
<dd>arguments to be passed to <code>tsum0</code>, <code>tsum1</code>, <code>tsum2</code>, or <code>tsum3</code></dd>

</dl>

tsum: Table Summary

Description

Usage

Value

Arguments

Author

Details

See Also

Examples