Diffogram

Plot 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 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

Diffogram 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 the confidence interval</dd> <dt>adj</dt>
<dd>"lsd", "tukey", "scheffe", "bon", or "duncan" to adjust p-value and confidence limit</dd> <dt>...</dt>
<dd>arguments to be passed to <code>plot</code></dd></dl>

Arguments

Author

Plot Pairwise Differences — Diffogram

<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 the confidence interval</dd>

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

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

</dl>

Diffogram: Plot Pairwise Differences

Description

Usage

Value

Arguments

Author

Details

See Also

Examples