This function displays the estimates and posterior probabilities of path alpha, beta, and tau' in a mediation schema and thus renders a clear view of the structure in the data.
Usage
## S3 method for class 'JZSMed'
plot(x,...)
Arguments
x
the output of the jzs_med function.
...
additional arguments to be passed on to the plot method, such as graphical parameters (see par).
Author(s)
Michele B. Nuijten <m.b.nuijten@uvt.nl>, Ruud Wetzels, Dora Matzke, Conor V. Dolan, and Eric-Jan Wagenmakers.
See Also
jzs_med
Examples
## Not run:
# simulate mediational data
a <- .5
b <- .6
t_prime <- .3
X <- rnorm(50,0,1)
M <- a*X + rnorm(50,0,1)
Y <- t_prime*X + b*M + rnorm(50,0,1)
# save jzs_med output
res <- jzs_med(independent=X,dependent=Y,mediator=M)
# plot results
plot(res$main_result)
## End(Not run)