bayespref (version 1.0)

prefPlot: Plot population and individual preferences

Description

This function will plot the posterior densities for population-level and individual-level preferences based upon a bayesPref analysis.

Usage

prefPlot(prefres = NULL, burn = 0, ind = TRUE, pop = TRUE, dist = FALSE, 
ymax = 5, xmin = 0, xmax = 1, dadj = 2, colors = NULL, leg = FALSE, 
lx = 0.8, ly = 4, catname = NULL, ps = FALSE, file = "./prefplot.eps")

Arguments

prefres

An object returned by bayesPref.

burn

A value indicating the number of burnin samples discarded.

ind

A boolean indicating whether to plot individual-level preferences.

pop

A boolean indicating whether to plot population-level preferences.

dist

A boolean indicating whether to plot population-level preferences based on density of the posterior (default), or whether to plot population-level preferences based on the estimate of the Dirichlet alphas.

ymax

A value indicating the maximum value for the y-axis.

xmin

A value indicating the minimum value for the x-axis.

xmax

A value indicating the maximum value for the x-axis.

dadj

A value indicating the bandwidth used for the smoothing of the density plot.

colors

A vector indicating the colors used for plotting.

leg

A Boolean indicating whether to include a legend in the plot.

lx

A value indicating where the legend begins on the horizontal (x-axis).

ly

A value indicating where the legend begins on the vertical (y-axis).

catname

A vector indicating the names associated with the legend.

ps

A Boolean indicating whether to write the plot to a file.

file

The name of the file the plot is written to.

Examples

## Not run: 
# data(YGGV)
# res <- bayesPref(pData=YGGV,mcmcL=1000)
# 
# prefPlot(prefres=res[[1]],burn=100,pop=TRUE) 
# 
# prefPlot(prefres=res[[1]],burn=100,pop=TRUE,ymax=15,leg=TRUE,
# catname=c("Astragalus"," Lotus","Lupine","Medicago"),lx=0.6,ly=14) #includes legend
# 
# prefPlot(prefres=res[[1]],burn=100,ind=FALSE,pop=TRUE,ymax=15,leg=TRUE,
# catname=c("Astragalus"," Lotus","Lupine","Medicago"),lx=0.6,ly=14) #includes only 
# population posterior and legend
# ## End(Not run)