# symmetricize: Make a matrix symmetric In theboocock/coco: Correlation-based conditional analysis

## Description

Make the matrix symmetric by making all "mirrored" positions consistent. A variety of methods are provided to make the matrix symmetrical.

## Usage

 ```1 2``` ```symmetricize(matrix, method = c("max", "min", "avg", "ld", "ud"), adjacencyList = FALSE) ```

## Arguments

 `matrix` The matrix to make symmatric `method` The method to use to make the matrix symmetric. Default is to take the maximum. "max" For each position, m_{i,j}, use the maxiumum of (m_{i,j}, m_{j,i}) "min" For each position, m_{i,j}, use the minimum of (m_{i,j}, m_{j,i}) "avg" For each position, m_{i,j}, use the mean: (m_{i,j} + m_{j,i})/2 "ld" Copy the lower triangular portion of the matrix to the upper triangular portion. "ud" Copy the upper triangular portion of the matrix to the lower triangular portion. `adjacencyList` Logical. If false, returns the symmetric matrix (the same format as the input). If true, returns an adjacency list representing the upper triangular portion of the adjacency matrix with addressing based on the row.names of the matrix provided.

## Value

The symmetric matrix

## Author(s)

Jeffrey D. Allen Jeffrey.Allen@UTSouthwestern.edu

## Examples

 ```1 2 3 4 5 6 7 8``` ```#Create a sample 3x3 matrix mat <- matrix(1:9, ncol=3) #Copy the upper diagonal portion to the lower symmetricize(mat, "ud") #Take the average of each symmetric location symmetricize(mat, "avg") ```

theboocock/coco documentation built on May 31, 2019, 9:10 a.m.