EvaluationMeasure: Evaluation Measure

In CINOEDV: Co-Information based N-Order Epistasis Detector and Visualizer

Description

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

Usage

EvaluationMeasure(factor, pts, class, measure = 1)

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 [e-mail]

References

None

Examples

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

CINOEDV documentation built on May 29, 2017, 9:07 p.m.

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