processR: makeCatModel – R documentation

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makeCatModel

Make simple regression model with one categorical variable

Make simple regression model with one categorical variable

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

`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

An object of class lm

labels=list(X="protest",W="sexism",M="respappr",Y="liking")
data1=addCatVars(protest,"protest")
makeCatModel(labels=labels,data=data1)

Implementation of the 'PROCESS' Macro

v0.2.6

GPL-2

Authors

Keon-Woong Moon [aut, cre], Sokyoung Hong [ctb]

Initial release

2021-1-5