PDIFF

Estimates pairwise differences by a common method.

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

PDIFF 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>Term</dt>
<dd>a factor name to be estimated</dd> <dt>conf.level</dt>
<dd>confidence level of confidence interval</dd> <dt>adj</dt>
<dd>"lsd", "tukey", "scheffe", "bon", "duncan", or "dunnett" to adjust p-value and confidence limit</dd> <dt>ref</dt>
<dd>reference or control level for Dunnett test</dd> <dt>PLOT</dt>
<dd>whether to plot or not the diffogram</dd> <dt>reverse</dt>
<dd>reverse A - B to B - A</dd> <dt>...</dt>
<dd>arguments to be passed to <code>plot</code></dd></dl>

Arguments

Author

Pairwise Difference — PDIFF

<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>Term</dt>
<dd>a factor name to be estimated</dd>

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

 <dt>adj</dt>
<dd>"lsd", "tukey", "scheffe", "bon", "duncan", or "dunnett" to adjust p-value and confidence limit</dd>

 <dt>ref</dt>
<dd>reference or control level for Dunnett test</dd>

 <dt>PLOT</dt>
<dd>whether to plot or not the diffogram</dd>

 <dt>reverse</dt>
<dd>reverse A - B to B - A</dd>

 <dt>...</dt>
<dd>arguments to be passed to <code>plot</code></dd>

</dl>

PDIFF: Pairwise Difference

Description

Usage

Value

Arguments

Author

Details

See Also

Examples