Summarize the moderated mediation
Summarize the moderated mediation
modmedSummary( semfit, mod = NULL, values = NULL, boot.ci.type = "perc", add.range = TRUE )
semfit |
An object of class lavaan |
mod |
name of moderator |
values |
Optional. Numeric vector |
boot.ci.type |
Type of bootstrapping interval. Choices are c("norm","basic","perc",bca.simple") |
add.range |
logical Wheter or not add range |
A data.frame and an object of class modmedSummary
require(lavaan)
labels=list(X="frame",M="justify",Y="donate",W="skeptic")
moderator=list(name="skeptic",site=list(c("a","c")))
model=tripleEquation(labels=labels,moderator=moderator)
cat(model)
semfit=sem(model,data=disaster,se="boot",bootstrap=100)
modmedSummary(semfit)
conditionalEffectPlot(semfit,data=disaster)
labels=list(X="dysfunc",M="negtone",Y="perform",W="negexp")
moderator=list(name="negexp",site=list("b"))
model=tripleEquation(labels=labels,moderator=moderator,data=teams,rangemode=2)
cat(model)
semfit=sem(model,data=teams,se="boot",bootstrap=100)
summary(semfit)
modmedSummary(semfit)
conditionalEffectPlot(semfit,data=teams)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.