Combination Entropy Computation

Description

This function compute combination entropy of given variables. These variables can be one SNP, the class label, SNP-combination, or SNP-combination-class label.

Usage

CombinationEntropy(data)

Arguments

Value

Combination_Entropy_Value: matrix. combination entropy value.

Author(s)

Junliang Shang shangjunliang110@163.com

References

None

Examples

data(pts)
data(class)
factor <- c(2, 5)
data <- cbind(pts[,factor],t(class))
V <- CombinationEntropy(data)
Combination_Entropy_Value <- V$Combination_Entropy_Value

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(CINOEDV)
Loading required package: R.matlab
R.matlab v3.5.1 (2016-03-27) successfully loaded. See ?R.matlab for help.

Attaching package: 'R.matlab'

The following objects are masked from 'package:base':

    getOption, isOpen

Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

Loading required package: ggplot2
Loading required package: reshape2
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/CINOEDV/CombinationEntropy.Rd_%03d_medium.png", width=480, height=480)
> ### Name: CombinationEntropy
> ### Title: Combination Entropy Computation
> ### Aliases: CombinationEntropy
> 
> ### ** Examples
> 
> data(pts)
> data(class)
> factor <- c(2, 5)
> data <- cbind(pts[,factor],t(class))
> V <- CombinationEntropy(data)
> Combination_Entropy_Value <- V$Combination_Entropy_Value
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>