JWileymisc (version 1.4.1)

internalcompareIV: 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,
  ...
)

Value

A list with all the model results.

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.

Examples

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