data.logicfs

cl.logicfs

<code>data.logicfs</code> contains two objects: a simulated matrix <code>data.logicfs</code>
of 400 observations (rows) and 15 variables (columns) and a vector
<code>cl.logicfs</code> of length 400 containing the class labels of the 
observations. Each variable is categorical with realizations 1, 2 and 3. The first 200 observations
are cases, the remaining are controls. If one of the following expression is <code>TRUE</code>,
then the corresponding observation is a case:SNP1 == 3SNP2 == 1 AND SNP4 == 3SNP3 == 3 AND SNP5 == 3 AND SNP6 == 1where SNP1 is in the first column of <code>data.logicfs</code>, SNP2 in the second, and so on.

datasets

Identification of interactions between binary variables using Logic
Regression. Can, e.g., be used to find interesting SNP interactions. Contains
also a bagging version of logic regression for classification.

Holger Schwender

logicFS

Identification of SNP Interactions

data.logicfs function

<code>data.logicfs</code> contains two objects: a simulated matrix <code>data.logicfs</code>
of 400 observations (rows) and 15 variables (columns) and a vector
<code>cl.logicfs</code> of length 400 containing the class labels of the 
observations. 

Each variable is categorical with realizations 1, 2 and 3. The first 200 observations
are cases, the remaining are controls. If one of the following expression is <code>TRUE</code>,
then the corresponding observation is a case:

SNP1 == 3

SNP2 == 1 AND SNP4 == 3

SNP3 == 3 AND SNP5 == 3 AND SNP6 == 1

where SNP1 is in the first column of <code>data.logicfs</code>, SNP2 in the second, and so on.

data.logicfs: Example Data of logicFS

Description

Arguments

See Also