rm.connections: Create ordered list of largest matrix elements

In RMThreshold: Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis

Description

The function creates a data frame which is sorted according to the (absolute) magnitude of the matrix elements.

Usage

 rm.connections(mat, nr.list = 30, abs.val = TRUE, fn = NULL)

Arguments

mat	Input matrix.
nr.list	Number of matrix elements to show.
abs.val	Logical variable determining if absolute values should be used for sorting.
fn	A file name. If not NULL, the data frame is saved to that file.

Details

This function can for instance be useful if pairs of samples with the largest correlation/mutual information are to be identified. By default, the matrix elements are sorted according to their absolute values. The list will not be saved if no filename is invoked, otherwise it will be saved to a tab-separated text file.

Value

A data frame containing the values of the largest nr.list matrix elements, together with the respective row- and column numbers. If present, the referring row- and column names are also included.

Author(s)

Uwe Menzel <[e-mail]>

Examples

set.seed(777)
random.mat <- create.rand.mat(size = 1000, distrib = "norm")$rand.matr
dim(random.mat)

## After identification of a proper threshold:
cleaned.matrix <- rm.denoise.mat(random.mat, threshold = 3.2, keep.diag = TRUE)	
cl2.matrix = rm.discard.zeros(cleaned.matrix)				 
df = rm.connections(cl2.matrix)  

RMThreshold documentation built on May 2, 2019, 8:51 a.m.