systematic_regression: Systematic regression function which performs the complete...

In lpalomerol/inmuneAssociation: Set of tools defined to run systematically linear regressions with output variable normalized using bestNormalize functions

Description

Systematic regression function which performs the complete pipeline and returns the results flattened into a data frame row

Usage

systematic_regression(
  dataset,
  effect_variable,
  main_covariable,
  sample_variable = "sample",
  phenotype_variables = "ALL"
)

Arguments

dataset	DataFrame This dataframe contains the whole data, combining sample ids, phenotypes and independent variables
effect_variable	String The dependent variable label
main_covariable	String The main covariable label, this is the studied one, other covaraibles can be considered or not at the regression.
sample_variable	String The name of the column where the sample names are defined.
phenotype_variables	Array|"ALL" The list of covariables that cuould be included. Columns not defined in this array will be excluded from the study.

Value

DataFrame One row dataframe with all the phentoype values

lpalomerol/inmuneAssociation documentation built on June 10, 2020, 2:45 p.m.