diff --git a/examples/d3-force-neighbourSampling-papaparsing.html b/examples/d3-force-neighbourSampling-papaparsing.html
index 77760d0..c574844 100644
--- a/examples/d3-force-neighbourSampling-papaparsing.html
+++ b/examples/d3-force-neighbourSampling-papaparsing.html
@@ -145,23 +145,47 @@
             </div>
           </div>
           <br/>
-          <label title="Number of iterations done at the end">
-            Full iterations
-            <output id="fullIterationsSliderOutput">20</output><br/>
-            <input type="range" min="1" max="100" value="20" step="1" oninput="d3.select('#fullIterationsSliderOutput').text(value); FULL_ITERATIONS=value;">
-            </label>
-          <br/>
           <label title="NeighbourSize">
-            Neighbour Set
+            Subset: Neighbour Set
             <output id="hlneighbourSizeSliderOutput">6</output><br/>
             <input type="range" min="1" max="100" value="6" step="1" oninput="d3.select('#hlneighbourSizeSliderOutput').text(value); NEIGHBOUR_SIZE=value;">
             </label>
           <br/>
           <label title="SampleSize">
-            Sample Set
+            Subset: Sample Set
             <output id="hlsampleSizeSliderOutput">3</output><br/>
             <input type="range" min="1" max="100" value="3" step="1" oninput="d3.select('#hlsampleSizeSliderOutput').text(value); SAMPLE_SIZE=value;">
             </label>
+          <br/>
+          <label title="DistanceRange">
+            Subset: Distance Range
+            <output id="hldistanceRangeSliderOutput">10</output><br/>
+            <input type="range" min="1" max="100" value="10" step="1" oninput="d3.select('#hldistanceRangeSliderOutput').text(value); SELECTED_DISTANCE=value;">
+            </label>
+          <br/>
+          <label title="Number of iterations done at the end">
+            Full: Iterations
+            <output id="fullIterationsSliderOutput">20</output><br/>
+            <input type="range" min="1" max="100" value="20" step="1" oninput="d3.select('#fullIterationsSliderOutput').text(value); FULL_ITERATIONS=value;">
+            </label>
+          <br/>
+          <label title="Full NeighbourSize">
+            Full: Neighbour Set
+            <output id="hlFullneighbourSizeSliderOutput">6</output><br/>
+            <input type="range" min="1" max="100" value="6" step="1" oninput="d3.select('#hlFullneighbourSizeSliderOutput').text(value); FULL_NEIGHBOUR_SIZE=value;">
+            </label>
+          <br/>
+          <label title="Full SampleSize">
+            Full: Sample Set
+            <output id="hlFullsampleSizeSliderOutput">3</output><br/>
+            <input type="range" min="1" max="100" value="3" step="1" oninput="d3.select('#hlFullsampleSizeSliderOutput').text(value); FULL_SAMPLE_SIZE=value;">
+            </label>
+          <br/>
+          <label title="DistanceRange">
+            Full: Distance Range
+            <output id="hlFulldistanceRangeSliderOutput">10</output><br/>
+            <input type="range" min="1" max="100" value="10" step="1" oninput="d3.select('#hlFulldistanceRangeSliderOutput').text(value); FULL_SELECTED_DISTANCE=value;">
+            </label>
         </div>
 
         <input id="NSButton" type="radio" name="algorithm" onclick="d3.select('#startSimulation').on('click', startNeighbourSamplingSimulation)">Neighbour
diff --git a/examples/js/src/neighbourSampling-papaparsing.js b/examples/js/src/neighbourSampling-papaparsing.js
index d8f6661..5e6d20e 100644
--- a/examples/js/src/neighbourSampling-papaparsing.js
+++ b/examples/js/src/neighbourSampling-papaparsing.js
@@ -56,7 +56,10 @@ var MULTIPLIER = 50,
   FULL_ITERATIONS = 20,
   NODE_SIZE = 10,
   COLOR_ATTRIBUTE = "",
-  SELECTED_DISTANCE = 10;
+  SELECTED_DISTANCE = 10,
+  FULL_NEIGHBOUR_SIZE = 6,
+  FULL_SAMPLE_SIZE = 3,
+  FULL_SELECTED_DISTANCE = 10;
 
 // Create a color scheme for a range of numbers.
 var color = d3.scaleOrdinal(d3.schemeCategory10);
@@ -105,6 +108,15 @@ function processData(data, error) {
   props.forEach(function (d) {
     opts.add(new Option(d, d, (d === COLOR_ATTRIBUTE) ? true : false));
   });
+  opts.selectedIndex = props.length-1;
+
+  props.pop(); //Hide Iris index / last column from distance function
+
+  //Put the nodes in random starting positions
+  nodes.forEach(function (d) {
+    d.x = (Math.random()-0.5) * 100000;
+    d.y = (Math.random()-0.5) * 100000;
+  });
 
   // Add the nodes to DOM.
   node = svg.append("g")
@@ -264,7 +276,7 @@ function startNeighbourSamplingSimulation() {
       .neighbourSize(NEIGHBOUR_SIZE)
       .sampleSize(SAMPLE_SIZE)
       // .freeness(0.5)
-      .distanceRange(SELECTED_DISTANCE)
+      .distanceRange(SELECTED_DISTANCE * MULTIPLIER)
       // The distance function that will be used to calculate distances
       //  between nodes.
       .distance(function (s, t) {
@@ -296,8 +308,8 @@ function startHybridSimulation() {
     .neighbourSize(NEIGHBOUR_SIZE)
     .sampleSize(SAMPLE_SIZE);
 
-  var sample = hybridSimulation.sample();
-  var remainder = hybridSimulation.remainder();
+  let sample = hybridSimulation.sample();
+  let remainder = hybridSimulation.remainder();
 
   // Add the nodes to DOM.
   node = svg.append("g")
@@ -334,16 +346,13 @@ function startHybridSimulation() {
     unSelectNodes(selectedData);
   }
 
-  hybridSimulation
-    .distance(distanceFunction);
 
   hybridSimulation
     .on("sampleTick", tickedHybrid)
     .on("fullTick", tickedHybrid)
-    .on("startFull", started)
+    .on("startFull", startedFull)
     .on("end", endedHybrid);
 
-
   function tickedHybrid() {
     if (rendering === true) {
       node
@@ -356,7 +365,7 @@ function startHybridSimulation() {
     }
   }
 
-  function started() {
+  function startedFull() {
     d3.selectAll(".nodes").remove();
     // Add the nodes to DOM.
     node = svg.append("g")