setMultivariableRegression: Perform univariable regression models
In rgriffier/statsBordeaux: Helpful tool to describe and analyse dataset

Description Usage Arguments Value Examples

A fonction that allow to perform multivariable linear and logistic regression and produce a data.frame to display

setMultivariableRegression(
  data,
  dependentVariable,
  independentVariables,
  round = 2
)

`data`	a data.frame, containing the data to be used in the regression
`dependentVariable`	a character vector of length one, containing the names of the dependant variable
`independentVariables`	a character vector containing the names of the independant variables
`round`	a numeric vector of length one, containing the round value to apply

a data.frame, containing the result of the regression model

data("mtcars")
setMultivariableRegression(data = mtcars,
                           dependentVariable = "cyl",
                           independentVariables = c("mpg", "drat")