internalcompareIV: Compares the effects of various independent variables

In JWileymisc: Miscellaneous Utilities and Functions

Compares the effects of various independent variables

Description

This is an internal function designed to run many models to compare the unique predictive effect of different IVs with and without covariates on an outcome.

Usage

internalcompareIV(
  dv,
  type = c("normal", "binary", "count"),
  iv,
  covariates = character(),
  data,
  multivariate = FALSE,
  ...
)

Arguments

dv	A character string of the depentent variable
type	A character string indicating the type of dependent variable
iv	A character string or vector giving the IV(s)
covariates	A character string or vector giving the covariate(s)
data	The data to be used for analysis
multivariate	A logical value whether to have models with all IVs simultaneously.
...	Additional arguments passed on to the internal function, .runIt.

Value

A list with all the model results.

Examples

test1 <- JWileymisc:::internalcompareIV(
  dv = "mpg", type = "normal",
  iv = "hp",
  covariates = "am",
  data = mtcars, multivariate = FALSE)
test1$Summary
rm(test1)

JWileymisc documentation built on April 13, 2025, 9:07 a.m.