ESTM

ESTMIMATE

Estimates Linear Function with a formula and a dataset.

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

ESTM function

<dl> <dt>L</dt>
<dd>a matrix of linear functions rows to be tested</dd> <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>conf.level</dt>
<dd>confidence level of confidence limit</dd></dl>

Arguments

Author

Estimate Linear Function — ESTM

<dl>

 <dt>L</dt>
<dd>a matrix of linear functions rows to be tested</dd>

 <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>conf.level</dt>
<dd>confidence level of confidence limit</dd>

</dl>

ESTM: Estimate Linear Function

Description

Usage

Value

Arguments

Author

Details

See Also

Examples