condPlotCat: Make conditional effect plot with data including a...

In processR: Implementation of the 'PROCESS' Macro

Make conditional effect plot with data including a categorical variable

Description

Make conditional effect plot with data including a categorical variable

Usage

condPlotCat(
  labels = list(),
  yvar = "Y",
  total = FALSE,
  data,
  addvars = TRUE,
  mode = 1,
  rangemode = 2,
  maxylev = 6,
  catlabels = NULL,
  add.slopelabel = FALSE,
  xpos = 0.5,
  add.point = TRUE,
  add.vlines = TRUE,
  add.vlines.text = TRUE,
  add.anova = TRUE,
  ypos = NULL,
  add.arrow = TRUE,
  xinterval = NULL,
  hjust1 = NULL,
  hjust2 = NULL,
  ypos2 = NULL,
  ypos3 = NULL,
  ceno = 1
)

Arguments

labels	Named list of variables
yvar	character. "Y"(default) or "M"
total	logical. If true, model include mediator variable.
data	A data.frame
addvars	logical
mode	Numeric. One of 1:4. 1= simple indicator coding, 2= sequential coding, 3= Helmert coding, 4= effect coding
rangemode	rangemode. 1 or 2.
maxylev	maximal unique length of categorical variable
catlabels	optional string of labels for the categorical variable
add.slopelabel	logical
xpos	numeric. x position of slope labels
add.point	logical. If true, add point to the plot
add.vlines	logical. If true, add vlines to the plot
add.vlines.text	logical. If true, add vlines.text to the plot
add.anova	logical. If true, add results of ANOVA to the plot
ypos	optional. Y position of anova results
add.arrow	logical. If true, add conditional effects to the plot
xinterval	Integer. Width of angled arrow
hjust1	optional. hjust of conditional effects 1
hjust2	optional. hjust of conditional effects 2
ypos2	optional. Y position of conditional effects 1
ypos3	optional. Y position of conditional effects 2
ceno	integer. 1 or 2

Examples

library(ggplot2)
labels=list(X="protest",W="sexism",M="respappr",Y="liking")
catlabels=c("No protest","Individual protest","Collective protest")
catlabels2=c("No protest","Individual protest","Collective protest","Any protest")
condPlotCat(labels=labels,yvar="M",data=protest,mode=3,ypos=c(0.2,0.15,0.1))
condPlotCat(labels=labels,yvar="M",data=protest,mode=3,ceno=c(1,2),add.vlines.text=FALSE)
condPlotCat(labels=labels,catlabels=catlabels,yvar="M",data=protest,mode=3,
     add.arrow=FALSE,addvars=FALSE)
condPlotCat(labels=labels,yvar="M",data=protest,mode=3,catlabels=catlabels2,ceno=c(1,2))
condPlotCat(labels=labels,data=protest,catlabels=catlabels,add.slopelabel=TRUE,
     xpos=c(0.3,0.7,0.7),add.point=FALSE,add.vlines=FALSE,add.anova=FALSE,add.arrow=FALSE)
condPlotCat(labels=labels,data=protest,catlabels=catlabels,add.anova=FALSE,add.arrow=FALSE)
condPlotCat(labels=labels,data=protest,catlabels=catlabels,add.anova=FALSE)+xlim(c(3.5,6.5))
condPlotCat(labels=labels,data=protest,add.anova=TRUE,ypos=c(0.2,0.2,0.5),add.arrow=FALSE)
condPlotCat(labels=labels,data=protest,catlabels=catlabels,add.anova=FALSE,ceno=1)
condPlotCat(labels=labels,data=protest,catlabels=catlabels,add.anova=FALSE,ceno=2)
condPlotCat(labels=labels,data=protest,total=TRUE,catlabels=catlabels,ypos=0.1,
      add.arrow=FALSE)+xlim(c(4,6))
condPlotCat(labels=labels,data=protest,total=TRUE,catlabels=catlabels2,add.anova=FALSE,
      ceno=c(1,2),xinterval=0.05,hjust1=c(-0.05,-0.05,1.05),hjust2=c(-0.05,1.05,1.05),
      ypos2=c(0.5,0.1,0.3),ypos3=c(0.2,0.4,0.4),mode=3)+xlim(c(4,6))

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