config_ATC: Adjust parameters for default ATC method

In jokergoo/cola: A Framework for Consensus Partitioning

Adjust parameters for default ATC method

Description

Adjust parameters for default ATC method

Usage

config_ATC(cor_fun = stats::cor, min_cor = 0, power = 1, k_neighbours = -1, group = NULL, cores = 1, ...)

Arguments

cor_fun	A function that calculates correlations from a matrix (on matrix rows).
min_cor	Cutoff for the minimal absolute correlation.
power	Power on the correlation values.
k_neighbours	Number of the closest neighbours to use.
group	A categorical variable.
cores	Number of cores.
...	Other arguments passed to ATC.

Details

This function changes the default parameters for ATC method. All the arguments in this function all pass to ATC.

Examples

# use Spearman correlation
config_ATC(cor_fun = function(m) stats::cor(m, method = "spearman"))
# use knn
config_ATC(k_neighbours = 100)

jokergoo/cola documentation built on Feb. 29, 2024, 1:41 a.m.