timelyportfolio/code.R

## code.R
#thanks to the examples from John Kiernander
#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_matrix
#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_trellis_bar

require(reshape2)
require(rCharts)
require(quantmod)
require(PerformanceAnalytics)

tckrs <- c('VBMFX','VFINX')

#outer lapply to make weekly
#inner lapply to get the symbols from Yahoo! Finance
prices <- lapply(lapply(
  tckrs,
  getSymbols, auto.assign=FALSE, from = '1990-01-01'
),to.weekly)

#merge our two symbols in one xts
prices.xts <- na.omit(merge(prices[[1]][,6],prices[[2]][,6]))
#name columns same as tickers
colnames(prices.xts) <- tckrs

#get 1 period returns
returns.xts <- prices.xts/lag(prices.xts,k=1) - 1
#make first 0 rather than NA
returns.xts[1,] <- 0

cumul.xts <- cumprod(1+returns.xts)

#get the rolling 150 week (about 3y) OmegaSharpe measure on the tickers
oSharpe <- rollapply(returns.xts, FUN=OmegaSharpeRatio, width = 150, fill = 0 )

#get the drawdown
drawdown <- Drawdowns(returns.xts)

#melt the prices and rolling OmegaSharpe to combine for plotting
cumul.melt <- melt(
  data.frame(format(index(cumul.xts)), rep("CumulGrowth",NROW(cumul.xts)), cumul.xts),
  id.vars = 1:2
)
oSharpe.melt <- melt(
  data.frame(format(index(oSharpe)),rep("OmegaSharpe",NROW(oSharpe)),oSharpe),
  id.vars = 1:2
)
drawdown.melt <- melt(
  data.frame(format(index(drawdown)),rep("Drawdown",NROW(drawdown)),drawdown),
  id.vars = 1:2
)
colnames(cumul.melt) <- c("date","metric","fund","value")
colnames(oSharpe.melt) <- c("date","metric","fund","value")
colnames(drawdown.melt) <- c("date","metric","fund","value")

oSharpeCumul <- rbind( cumul.melt, oSharpe.melt, drawdown.melt )

#make an interactive d3 plot of the rollilng OmegaSharpe
dSharpe = dPlot(
  value ~ date,
  groups = "fund",
  data = oSharpeCumul,
  type = "line",
  height = 500,
  width = 900
)
dSharpe$xAxis(
  type = "addTimeAxis",
  inputFormat = "%Y-%m-%d",
  outputFormat = "%Y"
)
dSharpe$facet( y = "metric")
dSharpe$templates$script = system.file(
  "libraries/dimple/layouts/chartFacet.html",
  package = "rCharts"
)
dSharpe

## index.html
<!doctype HTML>
<meta charset = 'utf-8'>
<html>
  <head>
    <link rel='stylesheet' href="http://netdna.bootstrapcdn.com/bootswatch/2.3.1/cosmo/bootstrap.min.css">
     <link rel="stylesheet" href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-responsive.min.css" >
    <link rel='stylesheet' href="http://getbootstrap.com/2.3.2/assets/js/google-code-prettify/prettify.css">
    <link rel='stylesheet' href="http://aozora.github.io/bootplus/assets/css/docs.css">

    <script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='http://dimplejs.org/dist/dimple.v1.min.js' type='text/javascript'></script>

    <style>
    .rChart {
      display: block
      margin: auto auto;
      width: 100%;
      height: 600px;
    }
    /*
    body {
      margin-top: 60px;
    }
    */
    </style>

  </head>
  <body>
    <div class='container'>
      <div class='row'>
        <div class='span8'>
          <div class="bs-docs-example">
            <div id='chart25b47ebd7abb' class='rChart nvd3Plot dimple'></div>
          <br/>
<pre><code class='r'>#thanks to the examples from John Kiernander
#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_matrix
#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_trellis_bar

require(reshape2)
require(rCharts)
require(quantmod)
require(PerformanceAnalytics)

tckrs &lt;- c('VBMFX','VFINX')

#outer lapply to make weekly
#inner lapply to get the symbols from Yahoo! Finance
prices &lt;- lapply(lapply(
  tckrs,
  getSymbols, auto.assign=FALSE, from = '1990-01-01'
),to.weekly)

#merge our two symbols in one xts
prices.xts &lt;- na.omit(merge(prices[[1]][,6],prices[[2]][,6]))
#name columns same as tickers
colnames(prices.xts) &lt;- tckrs

#get 1 period returns
returns.xts &lt;- prices.xts/lag(prices.xts,k=1) - 1
#make first 0 rather than NA
returns.xts[1,] &lt;- 0

cumul.xts &lt;- cumprod(1+returns.xts)

#get the rolling 150 week (about 3y) OmegaSharpe measure on the tickers
oSharpe &lt;- rollapply(returns.xts, FUN=OmegaSharpeRatio, width = 150, fill = 0 )

#get the drawdown
drawdown &lt;- Drawdowns(returns.xts)

#melt the prices and rolling OmegaSharpe to combine for plotting
cumul.melt &lt;- melt(
  data.frame(format(index(cumul.xts)), rep(&quot;CumulGrowth&quot;,NROW(cumul.xts)), cumul.xts),
  id.vars = 1:2
)
oSharpe.melt &lt;- melt(
  data.frame(format(index(oSharpe)),rep(&quot;OmegaSharpe&quot;,NROW(oSharpe)),oSharpe),
  id.vars = 1:2
)
drawdown.melt &lt;- melt(
  data.frame(format(index(drawdown)),rep(&quot;Drawdown&quot;,NROW(drawdown)),drawdown),
  id.vars = 1:2
)
colnames(cumul.melt) &lt;- c(&quot;date&quot;,&quot;metric&quot;,&quot;fund&quot;,&quot;value&quot;)
colnames(oSharpe.melt) &lt;- c(&quot;date&quot;,&quot;metric&quot;,&quot;fund&quot;,&quot;value&quot;)
colnames(drawdown.melt) &lt;- c(&quot;date&quot;,&quot;metric&quot;,&quot;fund&quot;,&quot;value&quot;)

oSharpeCumul &lt;- rbind( cumul.melt, oSharpe.melt, drawdown.melt )

#make an interactive d3 plot of the rollilng OmegaSharpe
dSharpe = dPlot(
  value ~ date,
  groups = &quot;fund&quot;,
  data = oSharpeCumul,
  type = &quot;line&quot;,
  height = 500,
  width = 900
)
dSharpe$xAxis(
  type = &quot;addTimeAxis&quot;,
  inputFormat = &quot;%Y-%m-%d&quot;,
  outputFormat = &quot;%Y&quot;
)
dSharpe$facet( y = &quot;metric&quot;)
dSharpe$templates$script = system.file(
  &quot;libraries/dimple/layouts/chartFacet.html&quot;,
  package = &quot;rCharts&quot;
)
dSharpe
</code></pre>
</div>
        </div>
      </div>
    </div>

    <script type="text/javascript">
(function(){
  var opts = {
 "dom": "chart25b47ebd7abb",
"width":    700,
"height":    500,
"x": "date",
"y": "value",
"groups": "fund",
"type": "line",
"facet": {
 "y": "metric"
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"id": "chart25b47ebd7abb"
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    data = 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te":"2013-08-02","metric":"Drawdown","fund":"VFINX","value":0},{"date":"2013-08-09","metric":"Drawdown","fund":"VFINX","value":-0.00982318271119831},{"date":"2013-08-16","metric":"Drawdown","fund":"VFINX","value":-0.030039926484568},{"date":"2013-08-23","metric":"Drawdown","fund":"VFINX","value":-0.0252867735597946},{"date":"2013-08-30","metric":"Drawdown","fund":"VFINX","value":-0.042778376322961},{"date":"2013-09-04","metric":"Drawdown","fund":"VFINX","value":-0.0307370555802016}],
    xAxis = {
 "type": "addTimeAxis",
"showPercent": false,
"inputFormat": "%Y-%m-%d",
"outputFormat": "%Y"
},
    yAxis = {
 "type": "addMeasureAxis",
"showPercent": false
},
    zAxis = [],
    colorAxis = [],
    legend = [];

  var svg = dimple.newSvg("#" + opts.id, opts.width, opts.height);

  //data = dimple.filterData(data, "Owner", ["Aperture", "Black Mesa"])
  var myChart = new dimple.chart(svg, data);
  var subCharts = [];

  if (opts.bounds) {
    myChart.setBounds(opts.bounds.x, opts.bounds.y, opts.bounds.width, opts.bounds.height);//myChart.setBounds(80, 30, 480, 330);
  }
      //if facet not provided for x or y make Dummy variable
      opts.facet.x = opts.facet.x ? opts.facet.x : "Dummy"
      opts.facet.y = opts.facet.y ? opts.facet.y : "Dummy"
      if(opts.facet.x === "Dummy" || opts.facet.y === "Dummy") {
        data.forEach(function(d){
          d.Dummy = 1;
        })
      }

      var x = myChart.addCategoryAxis("x", opts.facet.x);
      var y = myChart.addCategoryAxis("y", opts.facet.y);

      // Add the bar series to create the matrix shapes
      var s = myChart.addSeries("Hide", dimple.plot.bar);
      // Hide this series
      myChart.assignColor("Hide", "#fff", "#fff", 0);
      // The bar gap here will define the gaps between the charts
      s.barGap = 0.1;
      // Remove the click event from the master chart
      s.addEventHandler("mouseover", function (e) {});

      // Draw the main chart
      myChart.draw();

      // Remove the axis shapes from the main chart
      x.shapes.selectAll("path,line").remove();
      x.titleShape.remove();
      y.shapes.selectAll("path,line").remove();
      y.titleShape.remove();
      if(opts.facet.x === "Dummy") x.shapes.selectAll("text").remove();
      if(opts.facet.y === "Dummy") y.shapes.selectAll("text").remove();

      // Iterate the shapes from the parent chart
      s.shapes.each(function (d) {

        // Filter the data set for the quarter and the price tier
        // of the current shape
        var filteredData = dimple.filterData(data, opts.facet.x, String(d.xField[0]));
        filteredData = dimple.filterData(filteredData, opts.facet.y, String(d.yField[0]));

        // Draw a new chart which will go in the current shape
        var subChart = new dimple.chart(svg, filteredData);


        // Get the shape from the main chart on which this chart is based
        var shape = d3.select(this);

        // Position the chart inside the shape
        subChart.setBounds(
            parseFloat(shape.attr("x")),
            parseFloat(shape.attr("y")) - parseFloat(shape.attr("height")),
            parseFloat(shape.attr("width")),
            parseFloat(shape.attr("height")));


  //dimple allows use of custom CSS with noFormats
  if(opts.noFormats) { myChart.noFormats = opts.noFormats; };
  //for markimekko and addAxis also have third parameter measure
  //so need to evaluate if measure provided
  //x axis
  var subx;
  if(xAxis.measure) {
    subx = subChart[xAxis.type]("x",opts.x,xAxis.measure);
  } else {
    subx = subChart[xAxis.type]("x", opts.x);
  };
  if(!(xAxis.type === "addPctAxis")) subx.showPercent = xAxis.showPercent;
  if (xAxis.orderRule) subx.addOrderRule(xAxis.orderRule);
  if (xAxis.grouporderRule) subx.addGroupOrderRule(xAxis.grouporderRule);
  if (xAxis.overrideMin) subx.overrideMin = xAxis.overrideMin;
  if (xAxis.overrideMax) subx.overrideMax = xAxis.overrideMax;
  if (xAxis.overrideMax) subx.overrideMax = xAxis.overrideMax;
  if (xAxis.inputFormat) subx.dateParseFormat = xAxis.inputFormat;
  if (xAxis.outputFormat) subx.tickFormat = xAxis.outputFormat;
  //y axis
  var suby;
  if(yAxis.measure) {
    suby = subChart[yAxis.type]("y",opts.y,yAxis.measure);
  } else {
    suby = subChart[yAxis.type]("y", opts.y);
  };
  if(!(yAxis.type === "addPctAxis")) suby.showPercent = yAxis.showPercent;
  if (yAxis.orderRule) suby.addOrderRule(yAxis.orderRule);
  if (yAxis.grouporderRule) suby.addGroupOrderRule(yAxis.grouporderRule);
  if (yAxis.overrideMin) suby.overrideMin = yAxis.overrideMin;
  if (yAxis.overrideMax) suby.overrideMax = yAxis.overrideMax;
  if (yAxis.inputFormat) suby.dateParseFormat = yAxis.inputFormat;
  if (yAxis.outputFormat) suby.tickFormat = yAxis.outputFormat;
//z for bubbles
    var subz;
  if (!(typeof(zAxis) === 'undefined') && zAxis.type){
    if(zAxis.measure) {
      subz = subChart[zAxis.type]("z",opts.z,zAxis.measure);
    } else {
      sub = subChart[zAxis.type]("z", opts.z);
    };
    if(!(zAxis.type === "addPctAxis")) subz.showPercent = zAxis.showPercent;
    if (zAxis.orderRule) subz.addOrderRule(zAxis.orderRule);
    if (zAxis.overrideMin) subz.overrideMin = zAxis.overrideMin;
    if (zAxis.overrideMax) subz.overrideMax = zAxis.overrideMax;
  }
  if(d3.keys(colorAxis).length > 0) {
    subChart[colorAxis.type](colorAxis.colorSeries,colorAxis.palette) ;
  }

  //here need think I need to evaluate group and if missing do null
  //as the first argument
  //if provided need to use groups from opts
  var seriesVariables = [];
  if(!(opts.facet.x==="Dummy")) seriesVariables.push(opts.facet.x)
  if(!(opts.facet.y==="Dummy")) seriesVariables.push(opts.facet.y)
  if(opts.hasOwnProperty("groups")) {
    seriesVariables.push(opts.groups)
    var subs = subChart.addSeries( seriesVariables, dimple.plot[opts.type] );
    //series offers an aggregate method that we will also need to check if available
    //options available are avg, count, max, min, sum
    if (!(typeof(opts.aggregate) === 'undefined')) {
      subs.aggregate = eval(opts.aggregate);
    }
    if (!(typeof(opts.lineWeight) === 'undefined')) {
      subs.lineWeight = eval(opts.lineWeight);
    }
    if (!(typeof(opts.barGap) === 'undefined')) {
      subs.barGap = eval(opts.barGap);
    }
  } else var subs = myChart.addSeries( seriesVariables, dimple.plot[opts.type] );
  //unsure if this is best but if legend is provided (not empty) then evaluate
  if(d3.keys(legend).length > 0) {
    var l =myChart.addLegend();
    d3.keys(legend).forEach(function(d){
      l[d] = legend[d];
    });
  }
  //quick way to get this going but need to make this cleaner
  if(opts.storyboard) {
    subChart.setStoryboard(opts.storyboard);
  };
  subChart.draw();
  subCharts.push(subChart);
})
//evaluate which do not fall in column 1 or row 1 to remove
var xpos = d3.extent(subCharts,function(d){return d.x});
var ypos = d3.extent(subCharts,function(d){return d.y});

//get rid of all y for those not in column 1
//can easily customize this to only remove bits and pieces
subCharts.filter(function(d){
  return d.x!=xpos[0];
}).forEach(function(d){
  d.axes[1].shapes.remove();
  d.axes[1].titleShape.remove();
});
//now x for those not in row 1
subCharts.filter(function(d){
  return d.y!=ypos[1];
}).forEach(function(d){
  d.axes[0].shapes.remove();
  d.axes[0].titleShape.remove();
});


})();
</script>

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	#thanks to the examples from John Kiernander
	#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_matrix
	#http://dimplejs.org/advanced_examples_viewer.html?id=advanced_trellis_bar

	require(reshape2)
	require(rCharts)
	require(quantmod)
	require(PerformanceAnalytics)

	tckrs <- c('VBMFX','VFINX')

	#outer lapply to make weekly
	#inner lapply to get the symbols from Yahoo! Finance
	prices <- lapply(lapply(
	tckrs,
	getSymbols, auto.assign=FALSE, from = '1990-01-01'
	),to.weekly)

	#merge our two symbols in one xts
	prices.xts <- na.omit(merge(prices[[1]][,6],prices[[2]][,6]))
	#name columns same as tickers
	colnames(prices.xts) <- tckrs

	#get 1 period returns
	returns.xts <- prices.xts/lag(prices.xts,k=1) - 1
	#make first 0 rather than NA
	returns.xts[1,] <- 0

	cumul.xts <- cumprod(1+returns.xts)

	#get the rolling 150 week (about 3y) OmegaSharpe measure on the tickers
	oSharpe <- rollapply(returns.xts, FUN=OmegaSharpeRatio, width = 150, fill = 0 )

	#get the drawdown
	drawdown <- Drawdowns(returns.xts)

	#melt the prices and rolling OmegaSharpe to combine for plotting
	cumul.melt <- melt(
	data.frame(format(index(cumul.xts)), rep("CumulGrowth",NROW(cumul.xts)), cumul.xts),
	id.vars = 1:2
	)
	oSharpe.melt <- melt(
	data.frame(format(index(oSharpe)),rep("OmegaSharpe",NROW(oSharpe)),oSharpe),
	id.vars = 1:2
	)
	drawdown.melt <- melt(
	data.frame(format(index(drawdown)),rep("Drawdown",NROW(drawdown)),drawdown),
	id.vars = 1:2
	)
	colnames(cumul.melt) <- c("date","metric","fund","value")
	colnames(oSharpe.melt) <- c("date","metric","fund","value")
	colnames(drawdown.melt) <- c("date","metric","fund","value")

	oSharpeCumul <- rbind( cumul.melt, oSharpe.melt, drawdown.melt )

	#make an interactive d3 plot of the rollilng OmegaSharpe
	dSharpe = dPlot(
	value ~ date,
	groups = "fund",
	data = oSharpeCumul,
	type = "line",
	height = 500,
	width = 900
	)
	dSharpe$xAxis(
	type = "addTimeAxis",
	inputFormat = "%Y-%m-%d",
	outputFormat = "%Y"
	)
	dSharpe$facet( y = "metric")
	dSharpe$templates$script = system.file(
	"libraries/dimple/layouts/chartFacet.html",
	package = "rCharts"
	)
	dSharpe