correl2Comp: correl2Comp

In bitona/MineICA: Analysis of an ICA decomposition obtained on genomics data

correl2Comp

Description

This function computes the correlation between two components.

Usage

correl2Comp(comp1, comp2, type.corr = "pearson", plot = FALSE, 
    cutoff_zval = 0, test = FALSE, alreadyTreat = FALSE)

Arguments

comp1	The first component, a vector of projections or contributions indexed by labels
comp2	The second component, a vector of projections or contributions indexed by labels
type.corr	Type of correlation to be computed, either 'pearson' or 'spearman'
plot	if TRUE, plot comp1 vs comp2
cutoff_zval	either NULL or 0 (default) if all genes are used to compute the correlation between the components, or a threshold to compute the correlation on the genes that have at least a scaled projection higher than cutoff_zval.
test	if TRUE the correlation test p-value is returned instead of the correlation value
alreadyTreat	if TRUE comp1 and comp2 are considered as being already treated (i.e scaled and restricted to common elements)

Details

Before computing the correlation, the components are scaled and restricted to common labels. When cutoff_zval is different from 0, the elements that are included in the circle of center 0 and radius cutoff_zval are not taken into account during the computation of the correlation.

Value

This function returns either the correlation value or the p-value of the correlation test.

Author(s)

Anne Biton

bitona/MineICA documentation built on April 23, 2023, 1:41 p.m.