uniReg: uniReg

View source: R/utils.R

uniRegR Documentation

uniReg

Description

Univariate logistic or linear regression for a dataset.

Usage

uniReg(
  outcome,
  dataset,
  regression.type = "lm",
  padj.method = "fdr",
  covars = "none"
)

Arguments

outcome

string with name of class column or outcome vector.

dataset

data matrix with predictor columns and outcome column.

regression.type

"lm" or "binomial"

padj.method

for p.adjust ("fdr", "bonferroni", ...)

covars

optional vector or matrix of covariate columns for correction. Or separate data matrix of covariates.

Value

matrix of beta, p-value and adjusted p-value, sorted by p-value.

Examples

out_univariate <- uniReg(
  outcome = "class",
  dataset = case.control.3sets$train,
  regression.type = "binomial"
)
head(out_univariate)


insilico/npdr documentation built on July 6, 2023, 1:14 p.m.