see.lmu.tck

The default design is balanced, as a result Type I = Type II = Type III SS. A student can then delete one or more Y responses, and corresponding X responses to see create an unbalanced design. Now the types of SS will no longer be equal. Furthermore, the order that X1 and X2 are specified will now matter in the case of Type I SS, although it will not matter for type II and III SS.

graphs

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Ken Aho

asbio

A Collection of Statistical Tools for Biologists

see.lmu.tck function

<dl> <dt>Y</dt>
<dd>Response variable.</dd> <dt>X1</dt>
<dd>First column in design matrix with effect coding.</dd> <dt>X2</dt>
<dd>Second column in design matrix.</dd> <dt>X1X2</dt>
<dd>An interaction column. The product of design matrix columns one and two</dd> <dt>change.order</dt>
<dd>A logical command specifying whether or not the order of <code>X1</code> and <code>X2</code> should changed in the model specification.</dd> <dt>delete</dt>
<dd>when <code>delete != 0</code> an observation number to be deleted.</dd></dl>

Arguments

Author

Unbalanced and balanced linear models — see.lmu.tck

<dl>

 <dt>Y</dt>
<dd>Response variable.</dd>

 <dt>X1</dt>
<dd>First column in design matrix with effect coding.</dd>

 <dt>X2</dt>
<dd>Second column in design matrix.</dd>

 <dt>X1X2</dt>
<dd>An interaction column. The product of design matrix columns one and two</dd>

 <dt>change.order</dt>
<dd>A logical command specifying whether or not the order of <code>X1</code> and <code>X2</code> should changed in the model specification.</dd>

 <dt>delete</dt>
<dd>when <code>delete != 0</code> an observation number to be deleted.</dd>

</dl>

see.lmu.tck: Unbalanced and balanced linear models

Description

Usage

Arguments

Author

See Also

Examples