multipleMediation: Make Mediation Equation with multiple X or multiple Y

In processR: Implementation of the 'PROCESS' Macro

Make Mediation Equation with multiple X or multiple Y

Description

Make Mediation Equation with multiple X or multiple Y

Usage

multipleMediation(
  X = NULL,
  M = NULL,
  Y = NULL,
  labels = list(),
  data = NULL,
  vars = list(),
  moderator = list(),
  covar = NULL,
  mode = 0,
  range = TRUE,
  rangemode = 1,
  serial = FALSE,
  contrast = 1,
  bmatrix = NULL
)

Arguments

X	Names of independent variable
M	Names of mediator variable
Y	Names of dependent variable
labels	optional list
data	A data.frame
vars	A list
moderator	A list
covar	A list of covariates
mode	A numeric. 0: SEM equation, 1: regression equation
range	A logical
rangemode	range mode
serial	logical If TRUE, serial variables are added
contrast	integer If 2, absolute difference of contrasts are calculated
bmatrix	integer specifying causal relations among mediators

Examples

labels=list(X="cyl",M="am",Y="mpg")
covar=list(name=c("carb","disp"),site=list(c("M","Y"),"Y","Y"))
cat(multipleMediation(labels=labels,covar=covar,data=mtcars))
labels=list(X=c("cyl","wt"),M="am",Y="mpg")
moderator=list(name=c("vs"),site=list(c("a1","b1")))
cat(multipleMediation(labels=labels,data=mtcars))
cat(multipleMediation(labels=labels,moderator=moderator,data=mtcars))
labels=list(X="wt",M=c("cyl","am"),Y="mpg")
moderator=list(name=c("vs"),site=list(c("b1","b2")))
cat(multipleMediation(labels=labels,data=mtcars,range=FALSE))
cat(multipleMediation(labels=labels,moderator=moderator,data=mtcars,range=FALSE))
eq=multipleMediation(labels=labels,moderator=moderator,data=mtcars,range=FALSE,serial=FALSE,mode=1)
drawModel(equation=eq,labels=labels)
labels=list(X="X",M=c("M1","M2","M3"),Y="Y")
labels=list(X="X",M=c("M1","M2"),Y="Y")
cat(multipleMediation(labels=labels))
cat(multipleMediation(labels=labels,serial=TRUE))
moderator=list(name=c("W"),site=list(c("a1","b1")))
cat(multipleMediation(labels=labels,moderator=moderator,range=FALSE))
cat(multipleMediation(labels=labels,moderator=moderator,data=mtcars,range=FALSE))
cat(multipleMediation(X="am",Y="mpg",data=mtcars,moderator=moderator,covar=covar))
labels=list(X="cond",M=c("import","pmi"),Y="reaction")
cat(multipleMediation(labels=labels,data=pmi,serial=TRUE))
cat(multipleMediation(labels=labels,data=pmi,contrast=2))
cat(multipleMediation(labels=labels,data=pmi,mode=1,serial=TRUE))
labels=list(X="X",M=c("M1","M2","M3"),Y="Y")
cat(multipleMediation(labels=labels,bmatrix=c(1,1,1,1,1,1,1,1,1,1)))
labels=list(X="X",M=c("M1","M2"),Y="Y",W="W")
cat(multipleMediation(labels=labels,bmatrix=c(1,1,1,1,1,0)))
cat(multipleMediation(labels=labels,bmatrix=c(1,1,1,1,0,0)))
moderator=list(name=c("W"),matrix=list(c(1,1,0,1,0,0)))
eq=multipleMediation(labels=labels,moderator=moderator,bmatrix=c(1,1,1,1,1,1),mode=1)
drawModel(equation=eq,labels=labels,nodemode=2)
labels=list(X="X",M=c("M1","M2","M3"),Y="Y",W="W")
cat(multipleMediation(labels=labels,bmatrix=c(1,1,0,0,1,1,1,1,0,1)))
labels=list(X="X",M=c("M1","M2"),Y="Y")
cat(multipleMediation(labels=labels,serial=TRUE,mode=1))
vars=list(name=list(c("W","Z")),matrix=list(c(0,0,1,0,0,0)))
cat(multipleMediation(labels=labels,bmatrix=c(1,1,1,1,1,0),vars=vars))

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