mma (version 10.8-1)

plot.med: Plot the mediation effect on the fitted med object

Description

Plot the marginal effect of the selected variable on the outcome, and the marginal effect of the predictor on the selected variable.

Usage

# S3 method for med
plot(x,...,vari,xlim=NULL)

Value

No return value, called for graphs

Arguments

x

a med object created initially call to med, med.binx, or med.contx.

vari

an indices or the name of the variable to plot.

xlim

the range of the variable to be plotted.

...

other arguments passed to the plot function.

Author

Qingzhao Yu

Details

plot.med plots the marginal effect of the selected variable on the outcome, and the marginal effect of the predictor on the selected variable. If the predictor is binary, draw a histogram or boxplot of the marginal density of the variable at each different value of the predictor.

References

Yu, Q., Fan, Y., and Wu, X. (2014) <doi:10.4172/2155-6180.1000189>. "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival," Journal of Biometrics & Biostatistics,5(2): 189.

See Also

"med"

Examples

data("weight_behavior")
 x=weight_behavior[,c(2,4:14)]
 pred=weight_behavior[,3]
 y=weight_behavior[,15]
 data.bin<-data.org(x,y,pred=pred,contmed=c(7:9,11:12),binmed=c(6,10),
  binref=c(1,1),catmed=5,catref=1,predref="M",alpha=0.4,alpha2=0.4)
temp1<-med(data=data.bin,n=2)
temp2<-med(data=data.bin,n=2,nonlinear=TRUE)
plot(temp1,data.bin,vari="exercises",xlim=c(0,50))
plot(temp2,data.bin,vari="sports")