condPlot: Draw conditional effect plot

In processR: Implementation of the 'PROCESS' Macro

Draw conditional effect plot

Description

Draw conditional effect plot

Usage

condPlot(
  fit,
  xmode = 1,
  pred = NULL,
  modx = NULL,
  pred.values = NULL,
  modx.values = NULL,
  labels = NULL,
  mode = 1,
  rangemode = 1,
  ypos = NULL,
  hjust = NULL,
  linecolor = "gray60",
  linetype = 2,
  linesize = 1,
  arrowsize = 1,
  digits = 3,
  depM = FALSE,
  ...
)

Arguments

fit	An object of class lm
xmode	integer. 1 or 2.
pred	name of predictor variable
modx	name of moderator variable
pred.values	Values of predictor variables
modx.values	Values of modifier variables
labels	labels of regression lines
mode	integer. one of 1:3.
rangemode	integer. 1 or 2
ypos	integer. label y position.
hjust	hjust of label
linecolor	name of color of vline and hline
linetype	linetype of arrow
linesize	size of regression line
arrowsize	size of arrow
digits	integer indicating the number of decimal places
depM	logical If true, label M instead of X
...	further arguments to be passed to add_lines

Examples

fit=lm(justify~frame*skeptic,data=disaster)
condPlot(fit,rangemode=2,xpos=0.7,labels=c("Climate change(X=1)","Natural causes(X=0)"))

condPlot(fit,mode=2,xpos=0.6)
condPlot(fit,mode=3,rangemode=2,xpos=0.5)
condPlot(fit,xmode=2)
condPlot(fit,xmode=2,mode=2)
condPlot(fit,xmode=2,mode=3)
fit=lm(mpg~vs*hp,data=mtcars)
condPlot(fit,rangemode=2,xpos=0.6)
condPlot(fit,mode=2,xpos=0.5)
condPlot(fit,mode=3,rangemode=2)
fit=lm(govact~negemot*age+posemot+ideology+sex,data=glbwarm)
condPlot(fit,xmode=2,hjust=c(-0.1,-0.1,1.1))
condPlot(fit,xmode=2,pred.values=c(30,70),hjust=c(-0.1,-0.1,1.1),xpos=0.5)
condPlot(fit,xmode=2,mode=2,pred.values=c(30,50,70),xpos=0.2)
condPlot(fit,xmode=2,mode=3,xpos=0.5,hjust=c(-0.1,-0.1,1.1))
condPlot(fit,xmode=2,modx.values=c(2,3,4),mode=3,xpos=0.6)

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