vim_corr: Correlation analysis

In ck37r: Chris Kennedy's R Toolkit

Description

Examine variables most correlated with the outcome. Currently assumes that outcome is binary variable.

Usage

vim_corr(
  covariates,
  data,
  outcome,
  weights = rep(1, nrow(data)),
  bootse = TRUE,
  verbose = FALSE
)

Arguments

covariates	Character vector listing the covariates to analyze.
data	Dataframe of covariates and outcome.
outcome	Outcome variable, assumed binary.
weights	Optional observation weight vector.
bootse	Whether bootstrap standard errors should be used for inference.
verbose	If TRUE display extra information.

ck37r documentation built on Feb. 6, 2020, 5:09 p.m.