violinplot: Function for plotting posterior distribution of effects of...

In sparsereg: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data

Description

The function produces a violin plot for specified effects. This can be useful for presenting or examining particular marginal effects of interest.

Usage

violinplot(x, columns=NULL, newlabels=NULL, type="mode", stage=NULL)

Arguments

x	Object of class sparsereg.
columns	A vector of numbers (or strings) corresponding to columns (or column names) to produce plots for.
newlabels	New labels for columns rather than variable names in object. If empty, variable names are used.
type	Options are "mode" and "mean". Whether to plot the posterior mode or mean.
stage	Currently, this argument is ignored.

Details

Generates a violin plot for coefficients from object from class sparsereg. The desired coefficients can be requested using the columns argument and they can be assigned new names through newlabels.

References

Ratkovic, Marc and Tingley, Dustin. 2015. "Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Design." Working paper.

See Also

sparsereg, plot.sparsereg, summary.sparsereg, difference, print.sparsereg

Examples

## Not run: 
 set.seed(1)
 n<-500
 k<-100
 Sigma<-diag(k)
 Sigma[Sigma==0]<-.5
 X<-mvrnorm(n,mu=rep(0,k),Sigma=Sigma)
 y.true<-3+X[,2]*2+X[,3]*(-3)
 y<-y.true+rnorm(n)



##Fit a linear model with five covariates.
 s1<-sparsereg(y,X[,1:5])
 violinplot(s1,1:3)

## End(Not run)

sparsereg documentation built on May 1, 2019, 7:28 p.m.