do_metabowas: Helper function to compute MetaboWASs

In DanieleBizzarri/MiMIR: Metabolomics-Based Models for Imputing Risk

Helper function to compute MetaboWASs

Description

This helper function is called when doing Metabolites wide association analysis. It reports the results of linear regression models to study the association of a test variable to each metabolites individually and corrected for the covariates indicated.

Usage

do_metabowas(
  phen,
  dat,
  test_variable = "age",
  covariates = c("sex"),
  adj_method = "BH",
  quiet = TRUE
)

Arguments

phen	phenotypes data.frame
dat	metabolites data.frame
test_variable	the variable to be investigated
covariates	the covariates that you want to add
adj_method	correction method.
quiet	if FALSE it will plot the amount of people avaialble

Value

results= the results of the MetaboWAS (estimate, tstatistics, pvalue, BH corrected pvalue)

DanieleBizzarri/MiMIR documentation built on March 1, 2023, 11:02 p.m.