#'
#'@title Calculate and plot a posterior density based on a MCMC data vector.
#'
#'@description Function to calculate and plot a posterior density based on a MCMC data vector.
#'
#'@param data - the MCMC data vector from which to estimate the posterior density.
#'@param scaleBy - factor to scale data by
#'@param plotEst - flag (T/F) to plot the MLE estimate (assumed to be 1st value)
#'@param add - flag (T/F) to add to existing plot (creates new plot if FALSE)
#'@param clr - color for density plot
#'@param alpha - transparency value to apply to clr
#'@param xlim - x axis limits (if add=FALSE)
#'@param ylim - y axis limits (if add=FALSE)
#'@param xlabel - label for x axis (if add=FALSE)
#'@param label - label for plot (if add=FALSE)
#'
#'@details Uses functions
#'\itemize{
#' \item wtsUtilities::addTransparency(...)
#'}
#'
#'@import graphics
#'
#'@export
#'
plotMCMCResults.forVector<-function(data,
scaleBy=1,
plotEst=TRUE,
add=TRUE,
clr="cyan",
alpha=0.25,
xlim=NULL,
ylim=NULL,
xlabel='',
label=''){
if (!is.vector(data)){
cat('Error in plotMCMCResults.forVector:\n',
'data must be a vector!\n',
'Returning NULL...\n');
return(NULL);
}
d<-density(data);
d.x<-d$x/scaleBy;
d.y<-d$y/max(d$y,na.rm=TRUE);
cat('max(d.y)=',max(d.y),"\n");
if (!add){
if (is.null(xlim)) xlim<-range(d.x,na.rm=TRUE,finite=TRUE);
if (is.null(ylim)) ylim<-range(d.y,na.rm=TRUE,finite=TRUE)
plot(xlim,ylim,type='n',
xlim=xlim,xlab=xlabel,
ylim=ylim,ylab='',yaxt='n');
mtext(label,side=3,line=-1,adj=0.01,cex=0.8)
}
clr.a<-wtsUtilities::addTransparency(clr,alpha);
polygon(c(d.x[1],d.x,d.x[length(d.x)],d.x[1]),c(0,d.y,0,0),col=clr.a);
lines(d.x,d.y,col=clr,lty=1,lwd=2);
if (plotEst){
abline(v=data[1],col=clr,lty=1,lwd=3)
}
return(invisible(d));
}
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