Evaluation Measure

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Description

This function provides several co-information based measures for measuring main or interaction effect of a SNP or SNP-combination.

Usage

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Arguments

pts

matrix. SNP data. Each row represents a sample. Each column represents a SNP. For the element, 1 -> AA, 2 -> Aa, 3 -> aa.

class

matrix. Class labels of samples. It only has one row. Each column represents a class label. For the element, 1 -> case, 2-> control.

factor

numeric. The considered SNP or SNP-combination. For example, factor <- 5, or factor <- c(2,5)

measure

numeric. The used evaluation measure. 1 -> the classic co-information measure; 2 -> the normalized co-information measure; 3 -> TingHu's co-informationn measure.

Value

Value: matrix. The main or interaction effect value corresponding to a sing SNP or a SNP combination.

Author(s)

Junliang Shang shangjunliang110@163.com

References

None

Examples

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factor <- c(2,5)
data(pts)
data(class)
V <- EvaluationMeasure(factor, pts, class, measure = 1)
Value <- V$Value

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