processR (version 0.2.3)

makeCatModel: Make simple regression model with one categorical variable

Description

Make simple regression model with one categorical variable

Usage

makeCatModel(
  labels = labels,
  data,
  yvar = "Y",
  total = FALSE,
  addvars = TRUE,
  maxylev = 6,
  mode = 1
)

Arguments

labels

Named list of variables

data

A data.frame

yvar

Label of the dependent variable. Either "Y"(default) or "M".

total

logical. If true, model include mediator variable.

addvars

logical. Whether or not add categorical variables to the data

maxylev

maximal unique length of categorical variable

mode

Numeric. One of 1:4. 1= simple indicator coding, 2= sequential coding, 3= Helmert coding, 4= effect coding

Value

An object of class lm

Examples

# NOT RUN {
labels=list(X="protest",W="sexism",M="respappr",Y="liking")
data1=addCatVars(protest,"protest")
makeCatModel(labels=labels,data=data1)
# }