getCatSlopeDf: Make data summarizing regression slopes and intercepts

In processR: Implementation of the 'PROCESS' Macro

Make data summarizing regression slopes and intercepts

Description

Make data summarizing regression slopes and intercepts

Usage

getCatSlopeDf(
  labels = NULL,
  data,
  yvar = "Y",
  total = FALSE,
  addvars = TRUE,
  add.label = FALSE,
  maxylev = 6,
  mode = 1,
  rangemode = 2
)

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
add.label	logical
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
rangemode	rangemode. 1 or 2.

Examples

labels=list(X="protest",W="sexism",M="respappr",Y="liking")
getCatSlopeDf(labels=labels,yvar="M",data=protest,mode=3)
getCatSlopeDf(labels=labels,yvar="M",data=protest,mode=1)

processR documentation built on Jan. 23, 2023, 5:44 p.m.