View source: R/mediation.effect.bar.plot.R
mediation.effect.bar.plot  R Documentation 
Provides an effect bar plot in the context of simple mediation.
mediation.effect.bar.plot(x, mediator, dv,
main = "Mediation Effect Bar Plot", width = 1, left.text.adj = 0,
right.text.adj = 0, rounding = 3, file = "", save.pdf = FALSE,
save.eps = FALSE, save.jpg = FALSE, ...)
x 
vector of the predictor/independent variable 
mediator 
vector of the mediator variable 
dv 
vector of the dependent/outcome variable 
main 
main title 
width 
width of bar, default 1 
left.text.adj 
for fine tuning left side text adjustment 
right.text.adj 
for fine tuning right side text adjustment 
rounding 
how to round so that the values displayed in the plot do not have too few or too many significant digits 
file 
file name of the plot to be saved (not necessary) 
save.pdf 

save.eps 

save.jpg 

... 
optional additional specifications for nested functions 
Provides an effect bar for mediation (Bauer, Preacher, & Gil, 2006) may be used to plot the results of a mediation analysis compactly. Effect bars represent, in a single metric, the relative magnitudes of several values that are important for interpreting indirect effects. Preacher and Kelley (2011) discuss this plotting method also.
Only a figure is returned
Ken Kelley (University of Notre Dame; KKelley@nd.edu)
Bauer, D. J., Preacher, K. J., & Gil, K. M. (2006). Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations. Psychological Methods, 11, 142–163.
Preacher, K. J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative and graphical strategies for communicating indirect effects. Psychological Methods, 16, 93–115.
mediation
, mediation.effect.bar.plot
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