group_func_2: Generate groups using community analysis.

In SelectBoost: A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

Generate groups using community analysis.

Description

group_func_2 creates groups of variables based on community analysis.

Usage

group_func_2(absXcor, c0)

Arguments

absXcor	A numeric matrix. The absolute value of a correlation or distance matrix.
c0	A numeric scalar. The thresholding

Details

This is a function used to create a list of groups using an input matrix and a thresholding value c0. A group is made, for every column in the input matrix. It uses the infomap.community function of the igraph package.

Value

A list with one entry: the list of groups. Attributes:

• "type": "normal"

• "length.groups" the length of each groups.

Author(s)

Frederic Bertrand, [e-mail]

References

selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets, Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand, Bioinformatics, 2020. doi: 10.1093/bioinformatics/btaa855

See Also

group_func_2 boost.findgroups, infomap.community and igraph.

Examples

set.seed(314)
group_func_2(cor(matrix(rnorm(100),10,10)),.5)

SelectBoost documentation built on Dec. 1, 2022, 1:27 a.m.