anansiDiffCor: Run differential correlation analysis for all interacting...

In thomazbastiaanssen/anansi: Annotation-Based Analysis of Specific Interactions

Run differential correlation analysis for all interacting metabolites and functions.

Description

Can either take continuous or categorical data. Typically, the main anansi() function will run this for you.

Usage

anansiDiffCor(web, sat_model, errorterm, int.terms, metadata, verbose)

Arguments

web	An AnansiWeb object, containing two tables with omics data and a dictionary that links them. See weaveWebFromTables() for how to weave a web.
sat_model	A formula object, containing the full model
errorterm	A ⁠character vector⁠, containing the metadata col.name denoting repeated measures.
int.terms	A ⁠character vector⁠, containing the metadata col.names denoting covariates interacting with X to be tested for differential associations.
metadata	A vector or data.frame of categorical or continuous value necessary for differential correlations. Often a state or treatment score. If no argument provided, anansi will let you know and still to regular correlations according to your dictionary.
verbose	A boolean. Toggles whether to print diagnostic information while running. Useful for debugging errors on large datasets.

Value

a list of anansiTale result objects, one for the total model, one for emergent correlations and one for disjointed correlations.

thomazbastiaanssen/anansi documentation built on June 9, 2025, 3:59 p.m.