interpreter: Interpretation Function

In PiotrLeTrong/regressr: The Goss-Huang-Le Package For Kids Who Want To Regress Well And Wanna Learn To Do Other Stuff Good Too

Description

This function's main use is to run regressions and then returns interpretation of the model.

Usage

interpreter(modelType = "none", df, dependentVar, independentVar,
  logDepen = F, logIndepen = NULL, squareIndepend = NULL,
  detail = FALSE)

Arguments

modelType	What type of a regression model would you like to use? Defaults to "none"
df	Define data frame.
dependentVar	Insert the string value of the dependent variable you wish to use in this model.
independentVar	Insert the vectors of string values of the independent variables you wish to use in this model.
logDepen	Would you like to take the natural log of the dependent variable. Defaults to FALSE.
logIndepen	Insert a string vector of independent variables that you would like to take the natural log of. Defaults to NULL.
squareIndepend	Insert a string vector of independent variables that you would like to take the square of. Defaults to NULL.
detail	Whether or not you would like to take the detailed output from the regressions.

Examples

interpreter()

PiotrLeTrong/regressr documentation built on May 20, 2019, 1:31 p.m.