RanTest

Hypothesis test with a specified type of SS using random effects as error terms. This corresponds to SAS PROC GLM's RANDOM /TEST statement.

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

RanTest 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>Random</dt>
<dd>a vector of random effects. All should be specified as primary terms, not as interaction terms. All interaction terms with a random factor are regarded as random effects.</dd> <dt>Type</dt>
<dd>Sum of squares type to be used as contrast</dd> <dt>eps</dt>
<dd>A value less than this is considered as zero.</dd></dl>

Arguments

Author

Test with Random Effects — RanTest

<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>Random</dt>
<dd>a vector of random effects. All should be specified as primary terms, not as interaction terms. All interaction terms with a random factor are regarded as random effects.</dd>

 <dt>Type</dt>
<dd>Sum of squares type to be used as contrast</dd>

 <dt>eps</dt>
<dd>A value less than this is considered as zero.</dd>

</dl>

RanTest: Test with Random Effects

Description

Usage

Value

Arguments

Author

Details

Examples