Making a Sankey diagram in R for printing - r

Question

I am trying to make a Sankey diagram using R for a printed report. I have currently used 2 methods to do this but neither is achieving quite what I wanted.
The first uses the Riverplot function and produces this:
My problems with this plot is that I can't work out how to control the whitespace around the plot (it appears to be fixed and does not adjust to different sized datasets) or the positioning of the annotated text. I want to repeat this plot for a number of similar but differently sized datasets but the text placing is very variable in its positioning. This is the code I am currently using to add the text annotations:
riverplot(a, srt = 0)
y_lim<-par("yaxp") #gets y axis limits to spicify text placements
# text(1.5,y_lim[1], Name,font=2) #labels plot with Name (LA)
text(1,y_lim[1],"2004")
text(2,y_lim[1],"2010")
The second uses the rCharts and produces this:
My problems with this are (a) I would like to fix the order of the categories on each side (as in the first image) and (b) I would like to annotate the diagram as in the first image.
My questions are:
How I can fine tune the formatting of the Riverplot figure (first image), or,
How do I add annotations to the rCharts Sankey plot (I'm guessing this could be through the script section but I am new to rCharts, d3 and javascript), and,
Is it possible to fix the order of the categories int the rCharts sankey plot.

Answer 1

After a lot of tinkering and pinching code from a bunch of places, I have managed to produce what I wanted (solving point 2 of my original question).
The code could be refined in a number of places and could probably be done more elegantly but I have included it below in case it helps anyone else.
sankeyPlot$setTemplate(
afterScript = "
<script>
var cscale = d3.scale.ordinal()
.domain(['N','E', 'G' ,'I','T','N ','E ', 'G ' ,'I ','T '])
.range(['#d3d3d3', '#32ca32', '#1f78b4', '#e31a1c','#ecd736','#d3d3d3', '#32ca32', '#1f78b4', '#e31a1c','#ecd736'])
d3.selectAll('#{{ chartId }} svg path.link')
.style('stroke', function(d){
return cscale(d.source.name);
//returns grey links
})
d3.selectAll('#{{ chartId }} svg .node rect')
.style('fill', function(d){
return cscale(d.name)
})
.style('stroke', 'none')
var text_box = d3.selectAll('#{{ chartId }}').append('svg')
.attr('width', 500)
.attr('height', 100)
var TextData = [
{ 'cx': 0, 'cy': 20 ,'label': 'Type A', 'pos': 'left'},
{ 'cx': 250, 'cy': 20,'label': 'Label','pos': 'middle'},
{ 'cx': 500, 'cy': 20, 'label': 'Type B','pos': 'end'}];
var text = text_box.selectAll('text')
.data(TextData)
.enter()
.append('text');
//Add the text attributes
var textLabels = text
.attr('x', function(d) { return d.cx; })
.attr('y', function(d) { return d.cy; })
.text( function (d) { return d.label ; })
.attr('text-anchor', function(d) { return d.pos ;})
.attr('font-family', 'sans-serif')
.attr('font-size', '14px')
.attr('fill', 'black');
</script>
")