mlma (version 4.0-1)

plot.mlma.boot: Plot the "mlma.boot" Object

Description

For the mediator identified by var, the function draws the level 1 and/or (aggregated) level 2 indirect effects versus the predictor and the confidence bands at alpha significance level. If var is NULL, draw the relative mediation effects with confidence intervals.

Usage

# S3 method for mlma.boot
plot(x, ..., var = NULL, alpha = 0.05, quant=FALSE)

Arguments

x

an "mlma" object.

…

arguments to be passed to methods.

var

the name of the mediator that is to be plotted.

alpha

the significance level at which to draw the confidence bands.

quant

if true, confidence interval is calculated using quantil when plot the relative effects. By default, the CIs are calculated using normal approximation. This argument does nothing for the CIs calculated when var is not null.

Examples

# NOT RUN {
#1-1-1 model
data(sim.111)
temp111<-boot.mlma(y=sim.111$y, biny=FALSE, sim.111$x, levelx=1, 
                   m=sim.111$m, l1=1:2, c1=3,c1r=1,
                   f01y=c("x","log(x^2)"), f10y=c("x^2","sqrt(x+6)"), 
                   f20ky=list(2,c("x","x^3")), f01km1=list(2,"sqrt(x)+3"), 
                   f10km=list(2,"log(x+2)"), level=sim.111$level, boot=2)
plot(temp111)
plot(temp111,var="m.2")
plot(temp111,var="m.3")
plot(temp111,var="m.4")
 

#2-1-1 model
data(sim.211)
temp211<-boot.mlma(y=sim.211$y, biny=FALSE, x=sim.211$x, levelx=2, m=sim.211$m, 
                   l1=2,l2=1, c1=3,c1r=1, f01y=c("x","log(x^2)"), 
                   f02ky=list(1,c("x","x^2")), f20ky=list(2,c("x","x^3")),
                   f01km1=list(2,"sqrt(x)+3"), f01km2=list(1,c("x^1.2","x^2.3")), 
                   level=sim.211$level, boot=2)
plot(temp211)
plot(temp211,var="m.1")
plot(temp211,var="m.4")
plot(temp211,var="m.3")
# }