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Fixed pcp order

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Angelos Chatzimparmpas 5 years ago
parent 486a84934f
commit a5c4c12a96
2 changed files with 82 additions and 34 deletions
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
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  1. 2
      index.html
  2. 114
      js/tsne_vis.js

2
index.html
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@ -126,7 +126,7 @@
<div class="col-md-3 col-md-offset-6">
<div class="panel panel-default right-side-cor">
<div class="panel-heading">
<h2 class="panel-title" style="display:inline-block">Schema Investigation (Coefficient of Determination)</h2><div class="param" style="display:inline-block; float:right"><label for="param-corlim" style="display:inline-block; float: right">Mininum Correlation: #<output for="param-corlim" id="param-corlim-value" style="display:inline-block; float:right">0.5</output></label>
<h2 class="panel-title" style="display:inline-block">Correl. Schema Investigation</h2><div class="param" style="display:inline-block; float:right"><label for="param-corlim" style="display:inline-block; float: right">Mininum Correlation: #<output for="param-corlim" id="param-corlim-value" style="display:inline-block; float:right">0.5</output></label>
<input id="param-corlim" type="range" min="0" max="1" value="0.5", step="0.1" style="display:inline-block; float:right" onchange="CalculateCorrel(true);">
</div>
</div>

114
js/tsne_vis.js
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@ -1699,7 +1699,8 @@ function CalculateCorrel(flagForSchema){ // Calculate the correlation is a funct
if (isNaN(pearsonCorrelation(tempData, 0, 1))) {
} else{
SignStore.push([temp, pearsonCorrelation(tempData, 0, 1)]); // Keep the sign
correlationResults.push([Object.keys(dataFeatures[0])[temp] + " (" + temp + ")", Math.abs(pearsonCorrelation(tempData, 0, 1))*Math.abs(pearsonCorrelation(tempData, 0, 1)),temp]); // Find the pearson correlations
correlationResults.push([Object.keys(dataFeatures[0])[temp] + " (" + temp + ")", Math.abs(pearsonCorrelation(tempData, 0, 1)),temp]); // Find the pearson correlations
//correlationResults.push([Object.keys(dataFeatures[0])[temp] + " (" + temp + ")", Math.pow(pearsonCorrelation(tempData, 0, 1),2),temp]); // Find the pearson correlations (MAYBE!)
}
}
}
@ -1725,7 +1726,7 @@ function CalculateCorrel(flagForSchema){ // Calculate the correlation is a funct
correlationResultsFinal = [];
for (var i=0; i<correlationResults.length; i++){
if (parseFloat(document.getElementById("param-corlim-value").value) < Math.abs((maxminArea[correlationResults[i][2]].max - maxminArea[correlationResults[i][2]].min) / (maxminTotal[correlationResults[i][2]].max - maxminTotal[correlationResults[i][2]].min) * correlationResults[i][1])){
correlationResultsFinal.push([correlationResults[i][0],Math.abs((maxminArea[correlationResults[i][2]].max - maxminArea[correlationResults[i][2]].min) / (maxminTotal[correlationResults[i][2]].max - maxminTotal[correlationResults[i][2]].min) * correlationResults[i][1])*Math.abs((maxminArea[correlationResults[i][2]].max - maxminArea[correlationResults[i][2]].min) / (maxminTotal[correlationResults[i][2]].max - maxminTotal[correlationResults[i][2]].min) * correlationResults[i][1]),correlationResults[i][2]]);
correlationResultsFinal.push([correlationResults[i][0],Math.abs((maxminArea[correlationResults[i][2]].max - maxminArea[correlationResults[i][2]].min) / (maxminTotal[correlationResults[i][2]].max - maxminTotal[correlationResults[i][2]].min) * correlationResults[i][1]),correlationResults[i][2]]);
}
}
@ -1747,10 +1748,10 @@ function CalculateCorrel(flagForSchema){ // Calculate the correlation is a funct
for (var j = 0; j < correlationResultsFinal.length; j++) {
for (var i = 0; i < SignStore.length; i++) {
/* if (SignStore[i][1]*(-1) == correlationResults[j][1]) {
if (SignStore[i][1]*(-1) == correlationResults[j][1]) {
correlationResultsFinal[j][1] = parseFloat((correlationResultsFinal[j][1])).toFixed(2) * (-1); // Give the negative sign if needed and multiply by 100
}*/
if (SignStore[i][1] == correlationResults[j][1] || SignStore[i][1]*(-1) == correlationResults[j][1]) {
}
if (SignStore[i][1] == correlationResults[j][1]) {
correlationResultsFinal[j][1] = parseFloat((correlationResultsFinal[j][1])).toFixed(2); // Give a positive sign and multiply by 100
}
}
@ -1830,8 +1831,8 @@ function drawBarChart(){ // Draw the horizontal barchart with the correlations.
/////////////////////// Update scales ///////////////////////
/////////////////////////////////////////////////////////////
//Update the scales
main_xScale.domain([0, 1]);
mini_xScale.domain([0, 1]);
main_xScale.domain([-1, 1]);
mini_xScale.domain([-1, 1]);
main_yScale.domain(correlationResultsFinal.map(function(d) { return d[0]; }));
mini_yScale.domain(correlationResultsFinal.map(function(d) { return d[0]; }));
@ -2501,6 +2502,8 @@ if (points.length) { // If points exist (at least 1 point)
emptyPCP();
var parcoords = d3v3.parcoords()("#PCP");
// Remove or add that if you want to achieve a different effect when you have less than 10 points.
/*
if(selectedPoints.length <= 10 && coun > 0){ // If points > 10 then do not draw! If points = 0 then do not draw!
var wrapData = [];
@ -2561,7 +2564,7 @@ if (points.length) { // If points exist (at least 1 point)
.style("font", "14px");
} else {
*/
var wrapData2 = [];
for (var i=0; i<selectedPoints.length; i++){
var data = [];
@ -2570,12 +2573,12 @@ if (points.length) { // If points exist (at least 1 point)
if (j == Object.keys(dataFeatures[selectedPoints[i].id]).length -1){
if(format[0] == "diabetes"){
if (Object.values(dataFeatures[selectedPoints[i].id])[j] == 1){
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j]]:"Positive"}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j].replace("*","")]:"Positive"}); // Push the values into the pcp
} else{
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j]]:"Negative"}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j].replace("*","")]:"Negative"}); // Push the values into the pcp
}
} else{
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j]]:(Object.values(dataFeatures[selectedPoints[i].id])[j])}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[selectedPoints[i].id])[j].replace("*","")]:(Object.values(dataFeatures[selectedPoints[i].id])[j])}); // Push the values into the pcp
}
} else{
if (indices[m] == j){
@ -2586,6 +2589,32 @@ if (points.length) { // If points exist (at least 1 point)
}
wrapData2.push(data);
}
var CategoryReplaced = Category.replace("*","");
wrapData2.sort(function(a, b){
if(a[CategoryReplaced] < b[CategoryReplaced]) { return -1; }
if(a[CategoryReplaced] > b[CategoryReplaced]) { return 1; }
return 0;
})
function sortByFrequency(array) {
var frequency = {};
var CategoryReplaced = Category.replace("*","");
array.forEach(function(value) { frequency[value[CategoryReplaced]] = 0; });
var uniques = array.filter(function(value) {
return ++frequency[value[CategoryReplaced]] == 1;
});
var result = uniques.map(function(value) {
return frequency[value[CategoryReplaced]];
});
return result;
}
var lessmore = sortByFrequency(wrapData2);
if (lessmore[0] < lessmore[1]){
wrapData2.reverse();
}
var AllPointsWrapData2 = [];
for (var i=0; i<points.length; i++){
@ -2595,12 +2624,12 @@ if (points.length) { // If points exist (at least 1 point)
if (j == Object.keys(dataFeatures[points[i].id]).length -1){
if(format[0] == "diabetes"){
if (Object.values(dataFeatures[points[i].id])[j] == 1){
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j]]:"Positive"}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j].replace("*","")]:"Positive"}); // Push the values into the pcp
} else{
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j]]:"Negative"}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j].replace("*","")]:"Negative"}); // Push the values into the pcp
}
} else{
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j]]:(Object.values(dataFeatures[points[i].id])[j])}); // Push the values into the pcp
Object.assign(data,{[Object.keys(dataFeatures[points[i].id])[j].replace("*","")]:(Object.values(dataFeatures[points[i].id])[j])}); // Push the values into the pcp
}
} else{
if (indices[m] == j){
@ -2612,6 +2641,13 @@ if (points.length) { // If points exist (at least 1 point)
AllPointsWrapData2.push(data);
}
AllPointsWrapData2.sort(function(a, b){
if(a[CategoryReplaced] < b[CategoryReplaced]) { return -1; }
if(a[CategoryReplaced] > b[CategoryReplaced]) { return 1; }
return 0;
})
if (all_labels[0] == undefined){
var colorScaleCat = d3.scaleOrdinal().domain(["No Category"]).range(["#C0C0C0"]);
}
@ -2627,21 +2663,32 @@ if (points.length) { // If points exist (at least 1 point)
}
var colorScaleCat = d3.scaleOrdinal().domain(all_labels).range(ColorsCategorical);
}
parcoords
.data(AllPointsWrapData2)
.alpha(0.95)
.composite("darken")
.margin({ top: 20, left: 0, bottom: 10, right: -5 })
.mode("default")
.color(function(d){if(format[0] == "diabetes"){if(d[Category] == "Negative"){return colorScaleCat("Positive");}else{return colorScaleCat("Negative");}} else{return colorScaleCat(d[Category]);}})
.render()
.highlight(wrapData2)
.createAxes();
parcoords.svg.selectAll("text")
.style("font", "14px");
}
if (AllPointsWrapData2.length == wrapData2.length){
parcoords
.data(AllPointsWrapData2)
.alpha(0.35)
.composite("darken")
.margin({ top: 20, left: 0, bottom: 10, right: -5 })
.mode("default")
.color(function(d){if(format[0] == "diabetes"){if(d[Category.replace("*","")] == "Negative"){return colorScaleCat("Positive");}else{return colorScaleCat("Negative");}} else{return colorScaleCat(d[Category.replace("*","")]);}})
.render()
.createAxes();
parcoords.svg.selectAll("text")
.style("font", "14px");
} else{
parcoords
.data(AllPointsWrapData2)
.composite("darken")
.margin({ top: 20, left: 0, bottom: 10, right: -5 })
.mode("default")
.color(function(d){if(format[0] == "diabetes"){if(d[Category.replace("*","")] == "Negative"){return colorScaleCat("Positive");}else{return colorScaleCat("Negative");}} else{return colorScaleCat(d[Category.replace("*","")]);}})
.render()
.highlight(wrapData2)
.createAxes();
}
//}
var ColSizeSelector = document.getElementById("param-neighborHood").value; // This is the mapping of the color/size in beta/KLD
@ -2812,7 +2859,7 @@ if (points.length) { // If points exist (at least 1 point)
limitdist = parseFloat(limitdist).toFixed(1);
var legendScale2 = d3.scaleLinear()
.domain(d3.range(0, abbreviateNumber(parseInt(maxSize2)), calcStepSize2))
.domain(d3.range(0, parseInt(maxSize2), calcStepSize2))
.range([5*limitdist/2,12*limitdist/2]);
@ -2820,7 +2867,7 @@ if (points.length) { // If points exist (at least 1 point)
svg.append("g")
.attr("class", "legendSize")
.attr("transform", "translate(10,20)");
.attr("transform", "translate(10,10)");
var SizeRange2 = [];
SizeRange2.push(0);
@ -2926,9 +2973,10 @@ if (points.length) { // If points exist (at least 1 point)
pointsGeometry.vertices.push(vertex);
pointsGeometry.name = points[i].id;
geometry.vertices.push(vertex);
if(points[i].pcp == true){
/*if(points[i].pcp == true){
var color = new THREE.Color(colorScl(points[i].id));
} else if (points[i].DimON != null) {
}*/
if (points[i].DimON != null) {
let temp = points[i].DimON.match(/\d+/)[0];
var maxDim = (d3.max(points,function(d){ if(d.schemaInv == true){return d[temp]}; }));
var minDim = (d3.min(points,function(d){ if(d.schemaInv == true){return d[temp]}; }));

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