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@ -11,35 +11,111 @@ export default { |
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data () { |
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return { |
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WH: [], |
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ResultsLocal: [], |
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PerF: [], |
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PerFCM: [], |
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storedEnsem: [], |
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storedCM: [], |
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selectedSimple: [], |
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selectedEnsem: [] |
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} |
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}, |
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methods: { |
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reset () { |
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var svg = d3.select("#Bees"); |
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svg.selectAll("*").remove(); |
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this.PerF = [] |
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this.PerFCM = [] |
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this.storedEnsem = [] |
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this.storedCM = [] |
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this.selectedSimple = [] |
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this.selectedEnsem = [] |
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}, |
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BeesFun () { |
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var svg = d3.select("#Bees"); |
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svg.selectAll("*").remove(); |
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var chart1 |
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var data = [] |
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for (let i=0; i<500; i++){ |
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if (i<100) { |
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data.push({Algorithm:"KNN",value:randomIntFromInterval(40,100), size:(Math.floor(Math.random() * 4) + 4)}) |
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} else if (i<200){ |
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data.push({Algorithm:"LR",value:randomIntFromInterval(50,100), size:(Math.floor(Math.random() * 4) + 4)}) |
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} else if (i<300){ |
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data.push({Algorithm:"MLP",value:randomIntFromInterval(30,100), size:(Math.floor(Math.random() * 4) + 4)}) |
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} else if (i<400){ |
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data.push({Algorithm:"RF",value:randomIntFromInterval(10,100), size:(Math.floor(Math.random() * 4) + 4)}) |
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} else { |
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data.push({Algorithm:"GradB",value:randomIntFromInterval(0,100), size:(Math.floor(Math.random() * 4) + 4)}) |
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} |
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for (let i=0; i<this.storedCM.length; i++){ |
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let tempSplit = this.storedCM[i].split(/([0-9]+)/) |
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if (tempSplit[0] == 'KNN' || tempSplit[0] == 'KNNC' || tempSplit[0] == 'KNNM' || tempSplit[0] == 'KNNCC' || tempSplit[0] == 'KNNCM' || tempSplit[0] == 'KNNMC' || tempSplit[0] == 'KNNMM') { |
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if (this.selectedSimple.includes(this.storedCM[i])) { |
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data.push({Algorithm:"KNN",value:this.PerFCM[i], size:3, sw:true}) |
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} else { |
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data.push({Algorithm:"KNN",value:this.PerFCM[i], size:3, sw:false}) |
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} |
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} |
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else if (tempSplit[0] == 'LR' || tempSplit[0] == 'LRC' || tempSplit[0] == 'LRM' || tempSplit[0] == 'LRCC' || tempSplit[0] == 'LRCM' || tempSplit[0] == 'LRMC' || tempSplit[0] == 'LRMM') { |
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if (this.selectedSimple.includes(this.storedCM[i])) { |
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data.push({Algorithm:"LR",value:this.PerFCM[i], size:3, sw:true}) |
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} else { |
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data.push({Algorithm:"LR",value:this.PerFCM[i], size:3, sw:false}) |
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} |
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} |
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function randomIntFromInterval(min, max) { // min and max included |
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return Math.floor(Math.random() * (max - min + 1) + min); |
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else if (tempSplit[0] == 'MLP' || tempSplit[0] == 'MLPC' || tempSplit[0] == 'MLPM' || tempSplit[0] == 'MLPCC' || tempSplit[0] == 'MLPCM' || tempSplit[0] == 'MLPMC' || tempSplit[0] == 'MLPMM') { |
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if (this.selectedSimple.includes(this.storedCM[i])) { |
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data.push({Algorithm:"MLP",value:this.PerFCM[i], size:3, sw:true}) |
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} else { |
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data.push({Algorithm:"MLP",value:this.PerFCM[i], size:3, sw:false}) |
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} |
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} |
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else if (tempSplit[0] == 'RF' || tempSplit[0] == 'RFC' || tempSplit[0] == 'RFM' || tempSplit[0] == 'RFCC' || tempSplit[0] == 'RFCM' || tempSplit[0] == 'RFMC' || tempSplit[0] == 'RFMM') { |
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if (this.selectedSimple.includes(this.storedCM[i])) { |
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data.push({Algorithm:"RF",value:this.PerFCM[i], size:3, sw:true}) |
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} else { |
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data.push({Algorithm:"RF",value:this.PerFCM[i], size:3, sw:false}) |
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} |
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} |
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else { |
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if (this.selectedSimple.includes(this.storedCM[i])) { |
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data.push({Algorithm:"GradB",value:this.PerFCM[i], size:3, sw:true}) |
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} else { |
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data.push({Algorithm:"GradB",value:this.PerFCM[i], size:3, sw:false}) |
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} |
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} |
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} |
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if (this.storedEnsem.length != 0) { |
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var mergedStoreEnsembleLoc = [].concat.apply([], this.storedEnsem) |
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for (let i=0; i<mergedStoreEnsembleLoc.length; i++){ |
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let tempSplit = mergedStoreEnsembleLoc[i].split(/([0-9]+)/) |
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if (tempSplit[0] == 'KNN' || tempSplit[0] == 'KNNC' || tempSplit[0] == 'KNNM' || tempSplit[0] == 'KNNCC' || tempSplit[0] == 'KNNCM' || tempSplit[0] == 'KNNMC' || tempSplit[0] == 'KNNMM') { |
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if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) { |
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data.push({Algorithm:"KNN",value:this.PerF[i], size:5, sw:true}) |
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} else { |
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data.push({Algorithm:"KNN",value:this.PerF[i], size:5, sw:false}) |
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} |
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} |
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else if (tempSplit[0] == 'LR' || tempSplit[0] == 'LRC' || tempSplit[0] == 'LRM' || tempSplit[0] == 'LRCC' || tempSplit[0] == 'LRCM' || tempSplit[0] == 'LRMC' || tempSplit[0] == 'LRMM') { |
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if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) { |
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data.push({Algorithm:"LR",value:this.PerF[i], size:5, sw:true}) |
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} else { |
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data.push({Algorithm:"LR",value:this.PerF[i], size:5, sw:false}) |
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} |
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} |
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else if (tempSplit[0] == 'MLP' || tempSplit[0] == 'MLPC' || tempSplit[0] == 'MLPM' || tempSplit[0] == 'MLPCC' || tempSplit[0] == 'MLPCM' || tempSplit[0] == 'MLPMC' || tempSplit[0] == 'MLPMM') { |
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if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) { |
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data.push({Algorithm:"MLP",value:this.PerF[i], size:5, sw:true}) |
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} else { |
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data.push({Algorithm:"MLP",value:this.PerF[i], size:5, sw:false}) |
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} |
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} |
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else if (tempSplit[0] == 'RF' || tempSplit[0] == 'RFC' || tempSplit[0] == 'RFM' || tempSplit[0] == 'RFCC' || tempSplit[0] == 'RFCM' || tempSplit[0] == 'RFMC' || tempSplit[0] == 'RFMM') { |
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if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) { |
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data.push({Algorithm:"RF",value:this.PerF[i], size:5, sw:true}) |
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} else { |
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data.push({Algorithm:"RF",value:this.PerF[i], size:5, sw:false}) |
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} |
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} |
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else { |
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if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) { |
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data.push({Algorithm:"GradB",value:this.PerF[i], size:4, sw:true}) |
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} else { |
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data.push({Algorithm:"GradB",value:this.PerF[i], size:4, sw:false}) |
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} |
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} |
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} |
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} |
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chart1 = makeDistroChart({ |
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data:data, |
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@ -48,7 +124,6 @@ export default { |
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axisLabels: {xAxis: 'Algorithhm', yAxis: '# Performance (%) #'}, |
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selector:"#Bees", |
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constrainExtremes:true}); |
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chart1.renderBoxPlot({showBox:false}); |
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chart1.renderDataPlots({showPlot:true,plotType:'beeswarm',showBeanLines:false, colors:null}); |
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chart1.renderNotchBoxes({showNotchBox:false}); |
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chart1.renderViolinPlot({showViolinPlot:false}); |
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@ -80,8 +155,8 @@ export default { |
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axisLables: null, |
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yTicks: 1, |
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scale: 'linear', |
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chartSize: {width: 800, height: 400}, |
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margin: {top: 15, right: 60, bottom: 50, left: 50}, |
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chartSize: {width: 825, height: 420}, |
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margin: {top: 15, right: 45, bottom: 25, left: 40}, |
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constrainExtremes: false, |
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color: ['#ff7f00','#fdbf6f','#fb9a99','#b15928','#a6cee3'] |
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}; |
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@ -359,7 +434,7 @@ export default { |
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//Update axes |
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chart.objs.g.select('.x.axis').attr("transform", "translate(0," + chart.height + ")").call(chart.objs.xAxis) |
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.selectAll("text") |
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.attr("y", 5) |
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.attr("y", 10) |
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.attr("x", 15) |
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.attr("transform", "rotate(0)") |
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.style("text-anchor", "end"); |
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@ -408,7 +483,7 @@ export default { |
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.append("text") |
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.attr("class", "label") |
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.attr("transform", "rotate(-90)") |
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.attr("y", -42) |
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.attr("y", -35) |
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.attr("x", -chart.height / 2) |
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.attr("dy", ".71em") |
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.style("text-anchor", "middle") |
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@ -734,353 +809,6 @@ export default { |
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return chart; |
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}; |
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/** |
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* Render a box plot on the current chart |
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* @param options |
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* @param [options.show=true] Toggle the whole plot on and off |
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* @param [options.showBox=true] Show the box part of the box plot |
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* @param [options.showWhiskers=true] Show the whiskers |
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* @param [options.showMedian=true] Show the median line |
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* @param [options.showMean=false] Show the mean line |
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* @param [options.medianCSize=3] The size of the circle on the median |
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* @param [options.showOutliers=true] Plot outliers |
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* @param [options.boxwidth=30] The max percent of the group rangeBand that the box can be |
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* @param [options.lineWidth=boxWidth] The max percent of the group rangeBand that the line can be |
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* @param [options.outlierScatter=false] Spread out the outliers so they don't all overlap (in development) |
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* @param [options.outlierCSize=2] Size of the outliers |
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* @param [options.colors=chart default] The color mapping for the box plot |
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* @returns {*} The chart object |
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*/ |
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chart.renderBoxPlot = function (options) { |
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chart.boxPlots = {}; |
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// Defaults |
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var defaultOptions = { |
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show: true, |
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showBox: true, |
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showWhiskers: true, |
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showMedian: true, |
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showMean: false, |
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medianCSize: 3.5, |
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showOutliers: true, |
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boxWidth: 30, |
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lineWidth: null, |
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scatterOutliers: false, |
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outlierCSize: 2.5, |
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colors: chart.colorFunct |
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}; |
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chart.boxPlots.options = shallowCopy(defaultOptions); |
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for (var option in options) { |
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chart.boxPlots.options[option] = options[option] |
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} |
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var bOpts = chart.boxPlots.options; |
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//Create box plot objects |
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for (var cName in chart.groupObjs) { |
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chart.groupObjs[cName].boxPlot = {}; |
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chart.groupObjs[cName].boxPlot.objs = {}; |
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} |
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/** |
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* Calculates all the outlier points for each group |
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*/ |
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!function calcAllOutliers() { |
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/** |
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* Create lists of the outliers for each content group |
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* @param cGroup The object to modify |
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* @return null Modifies the object in place |
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*/ |
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function calcOutliers(cGroup) { |
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var cExtremes = []; |
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var cOutliers = []; |
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var cOut, idx; |
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for (idx = 0; idx <= cGroup.values.length; idx++) { |
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cOut = {value: cGroup.values[idx]}; |
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if (cOut.value < cGroup.metrics.lowerInnerFence) { |
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if (cOut.value < cGroup.metrics.lowerOuterFence) { |
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cExtremes.push(cOut); |
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} else { |
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cOutliers.push(cOut); |
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} |
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} else if (cOut.value > cGroup.metrics.upperInnerFence) { |
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if (cOut.value > cGroup.metrics.upperOuterFence) { |
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cExtremes.push(cOut); |
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} else { |
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cOutliers.push(cOut); |
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} |
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} |
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} |
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cGroup.boxPlot.objs.outliers = cOutliers; |
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cGroup.boxPlot.objs.extremes = cExtremes; |
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} |
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for (var cName in chart.groupObjs) { |
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calcOutliers(chart.groupObjs[cName]); |
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} |
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}(); |
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/** |
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* Take updated options and redraw the box plot |
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* @param updateOptions |
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*/ |
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chart.boxPlots.change = function (updateOptions) { |
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if (updateOptions) { |
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for (var key in updateOptions) { |
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bOpts[key] = updateOptions[key] |
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} |
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} |
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for (var cName in chart.groupObjs) { |
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chart.groupObjs[cName].boxPlot.objs.g.remove() |
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} |
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chart.boxPlots.prepareBoxPlot(); |
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chart.boxPlots.update() |
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}; |
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chart.boxPlots.reset = function () { |
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chart.boxPlots.change(defaultOptions) |
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}; |
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chart.boxPlots.show = function (opts) { |
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if (opts !== undefined) { |
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opts.show = true; |
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if (opts.reset) { |
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chart.boxPlots.reset() |
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} |
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} else { |
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opts = {show: true}; |
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} |
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chart.boxPlots.change(opts) |
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}; |
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chart.boxPlots.hide = function (opts) { |
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if (opts !== undefined) { |
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opts.show = false; |
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if (opts.reset) { |
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chart.boxPlots.reset() |
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} |
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} else { |
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opts = {show: false}; |
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} |
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chart.boxPlots.change(opts) |
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}; |
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/** |
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* Update the box plot obj values |
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*/ |
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chart.boxPlots.update = function () { |
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var cName, cBoxPlot; |
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for (cName in chart.groupObjs) { |
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cBoxPlot = chart.groupObjs[cName].boxPlot; |
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// Get the box width |
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var objBounds = getObjWidth(bOpts.boxWidth, cName); |
|
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|
|
var width = (objBounds.right - objBounds.left); |
|
|
|
|
|
|
|
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|
var sMetrics = {}; //temp var for scaled (plottable) metric values |
|
|
|
|
for (var attr in chart.groupObjs[cName].metrics) { |
|
|
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|
sMetrics[attr] = null; |
|
|
|
|
sMetrics[attr] = chart.yScale(chart.groupObjs[cName].metrics[attr]); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Box |
|
|
|
|
if (cBoxPlot.objs.box) { |
|
|
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|
cBoxPlot.objs.box |
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|
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|
.attr("x", objBounds.left) |
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|
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.attr('width', width) |
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|
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.attr("y", sMetrics.quartile3) |
|
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|
.attr("rx", 1) |
|
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|
.attr("ry", 1) |
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|
|
.attr("height", -sMetrics.quartile3 + sMetrics.quartile1) |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Lines |
|
|
|
|
var lineBounds = null; |
|
|
|
|
if (bOpts.lineWidth) { |
|
|
|
|
lineBounds = getObjWidth(bOpts.lineWidth, cName) |
|
|
|
|
} else { |
|
|
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|
lineBounds = objBounds |
|
|
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|
} |
|
|
|
|
// --Whiskers |
|
|
|
|
if (cBoxPlot.objs.upperWhisker) { |
|
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|
cBoxPlot.objs.upperWhisker.fence |
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|
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.attr("x1", lineBounds.left) |
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.attr("x2", lineBounds.right) |
|
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.attr('y1', sMetrics.upperInnerFence) |
|
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|
.attr("y2", sMetrics.upperInnerFence); |
|
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cBoxPlot.objs.upperWhisker.line |
|
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.attr("x1", lineBounds.middle) |
|
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|
.attr("x2", lineBounds.middle) |
|
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.attr('y1', sMetrics.quartile3) |
|
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|
.attr("y2", sMetrics.upperInnerFence); |
|
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|
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|
cBoxPlot.objs.lowerWhisker.fence |
|
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.attr("x1", lineBounds.left) |
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|
.attr("x2", lineBounds.right) |
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.attr('y1', sMetrics.lowerInnerFence) |
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|
.attr("y2", sMetrics.lowerInnerFence); |
|
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cBoxPlot.objs.lowerWhisker.line |
|
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|
.attr("x1", lineBounds.middle) |
|
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|
.attr("x2", lineBounds.middle) |
|
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|
.attr('y1', sMetrics.quartile1) |
|
|
|
|
.attr("y2", sMetrics.lowerInnerFence); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// --Median |
|
|
|
|
if (cBoxPlot.objs.median) { |
|
|
|
|
cBoxPlot.objs.median.line |
|
|
|
|
.attr("x1", lineBounds.left) |
|
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|
.attr("x2", lineBounds.right) |
|
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|
.attr('y1', sMetrics.median) |
|
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|
|
.attr("y2", sMetrics.median); |
|
|
|
|
cBoxPlot.objs.median.circle |
|
|
|
|
.attr("cx", lineBounds.middle) |
|
|
|
|
.attr("cy", sMetrics.median) |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// --Mean |
|
|
|
|
if (cBoxPlot.objs.mean) { |
|
|
|
|
cBoxPlot.objs.mean.line |
|
|
|
|
.attr("x1", lineBounds.left) |
|
|
|
|
.attr("x2", lineBounds.right) |
|
|
|
|
.attr('y1', sMetrics.mean) |
|
|
|
|
.attr("y2", sMetrics.mean); |
|
|
|
|
cBoxPlot.objs.mean.circle |
|
|
|
|
.attr("cx", lineBounds.middle) |
|
|
|
|
.attr("cy", sMetrics.mean); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Outliers |
|
|
|
|
|
|
|
|
|
var pt; |
|
|
|
|
if (cBoxPlot.objs.outliers) { |
|
|
|
|
for (pt in cBoxPlot.objs.outliers) { |
|
|
|
|
cBoxPlot.objs.outliers[pt].point |
|
|
|
|
.attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width)) |
|
|
|
|
.attr("cy", chart.yScale(cBoxPlot.objs.outliers[pt].value)); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
if (cBoxPlot.objs.extremes) { |
|
|
|
|
for (pt in cBoxPlot.objs.extremes) { |
|
|
|
|
cBoxPlot.objs.extremes[pt].point |
|
|
|
|
.attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width)) |
|
|
|
|
.attr("cy", chart.yScale(cBoxPlot.objs.extremes[pt].value)); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
}; |
|
|
|
|
|
|
|
|
|
/** |
|
|
|
|
* Create the svg elements for the box plot |
|
|
|
|
*/ |
|
|
|
|
chart.boxPlots.prepareBoxPlot = function () { |
|
|
|
|
var cName, cBoxPlot; |
|
|
|
|
|
|
|
|
|
if (bOpts.colors) { |
|
|
|
|
chart.boxPlots.colorFunct = getColorFunct(bOpts.colors); |
|
|
|
|
} else { |
|
|
|
|
chart.boxPlots.colorFunct = chart.colorFunct |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
if (bOpts.show == false) { |
|
|
|
|
return |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
for (cName in chart.groupObjs) { |
|
|
|
|
cBoxPlot = chart.groupObjs[cName].boxPlot; |
|
|
|
|
|
|
|
|
|
cBoxPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "box-plot"); |
|
|
|
|
|
|
|
|
|
//Plot Box (default show) |
|
|
|
|
if (bOpts.showBox) { |
|
|
|
|
cBoxPlot.objs.box = cBoxPlot.objs.g.append("rect") |
|
|
|
|
.attr("class", "box") |
|
|
|
|
.style("fill", chart.boxPlots.colorFunct(cName)) |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
//A stroke is added to the box with the group color, it is |
|
|
|
|
// hidden by default and can be shown through css with stroke-width |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
//Plot Median (default show) |
|
|
|
|
if (bOpts.showMedian) { |
|
|
|
|
cBoxPlot.objs.median = {line: null, circle: null}; |
|
|
|
|
cBoxPlot.objs.median.line = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "median"); |
|
|
|
|
cBoxPlot.objs.median.circle = cBoxPlot.objs.g.append("circle") |
|
|
|
|
.attr("class", "median") |
|
|
|
|
.attr('r', bOpts.medianCSize) |
|
|
|
|
.style("fill", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Plot Mean (default no plot) |
|
|
|
|
if (bOpts.showMean) { |
|
|
|
|
cBoxPlot.objs.mean = {line: null, circle: null}; |
|
|
|
|
cBoxPlot.objs.mean.line = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "mean"); |
|
|
|
|
cBoxPlot.objs.mean.circle = cBoxPlot.objs.g.append("circle") |
|
|
|
|
.attr("class", "mean") |
|
|
|
|
.attr('r', bOpts.medianCSize) |
|
|
|
|
.style("fill", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Plot Whiskers (default show) |
|
|
|
|
if (bOpts.showWhiskers) { |
|
|
|
|
cBoxPlot.objs.upperWhisker = {fence: null, line: null}; |
|
|
|
|
cBoxPlot.objs.lowerWhisker = {fence: null, line: null}; |
|
|
|
|
cBoxPlot.objs.upperWhisker.fence = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "upper whisker") |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
cBoxPlot.objs.upperWhisker.line = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "upper whisker") |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
|
|
|
|
|
cBoxPlot.objs.lowerWhisker.fence = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "lower whisker") |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
cBoxPlot.objs.lowerWhisker.line = cBoxPlot.objs.g.append("line") |
|
|
|
|
.attr("class", "lower whisker") |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
// Plot outliers (default show) |
|
|
|
|
if (bOpts.showOutliers) { |
|
|
|
|
if (!cBoxPlot.objs.outliers) calcAllOutliers(); |
|
|
|
|
var pt; |
|
|
|
|
if (cBoxPlot.objs.outliers.length) { |
|
|
|
|
var outDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot outliers"); |
|
|
|
|
for (pt in cBoxPlot.objs.outliers) { |
|
|
|
|
cBoxPlot.objs.outliers[pt].point = outDiv.append("circle") |
|
|
|
|
.attr("class", "outlier") |
|
|
|
|
.attr('r', bOpts.outlierCSize) |
|
|
|
|
.style("fill", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
if (cBoxPlot.objs.extremes.length) { |
|
|
|
|
var extDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot extremes"); |
|
|
|
|
for (pt in cBoxPlot.objs.extremes) { |
|
|
|
|
cBoxPlot.objs.extremes[pt].point = extDiv.append("circle") |
|
|
|
|
.attr("class", "extreme") |
|
|
|
|
.attr('r', bOpts.outlierCSize) |
|
|
|
|
.style("stroke", chart.boxPlots.colorFunct(cName)); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
} |
|
|
|
|
}; |
|
|
|
|
chart.boxPlots.prepareBoxPlot(); |
|
|
|
|
|
|
|
|
|
d3.select(window).on('resize.' + chart.selector + '.boxPlot', chart.boxPlots.update); |
|
|
|
|
chart.boxPlots.update(); |
|
|
|
|
return chart; |
|
|
|
|
|
|
|
|
|
}; |
|
|
|
|
|
|
|
|
|
/** |
|
|
|
|
* Render a notched box on the current chart |
|
|
|
|
* @param options |
|
|
|
|
@ -1443,8 +1171,8 @@ export default { |
|
|
|
|
.range([Math.floor(chart.yScale.range()[0] / dOpts.pointSize), 0]) |
|
|
|
|
.interpolate(d3.interpolateRound) |
|
|
|
|
.domain(chart.yScale.domain()); |
|
|
|
|
var maxWidth = Math.floor(chart.xScale.rangeBand() / dOpts.pointSize); |
|
|
|
|
|
|
|
|
|
var maxWidth = Math.ceil(chart.xScale.rangeBand() / dOpts.pointSize); |
|
|
|
|
|
|
|
|
|
var ptsObj = {}; |
|
|
|
|
var cYBucket = null; |
|
|
|
|
// Bucket points |
|
|
|
|
@ -1560,23 +1288,18 @@ export default { |
|
|
|
|
for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) { |
|
|
|
|
cPlot.objs.points.pts.push(cPlot.objs.points.g.append("circle") |
|
|
|
|
.attr("class", "point") |
|
|
|
|
.attr('r', function () { return chart.data[pt].size / 2; })// Options is diameter, r takes radius so divide by 2 |
|
|
|
|
.style("fill", chart.dataPlots.colorFunct(cName))); |
|
|
|
|
.attr('r', function () { |
|
|
|
|
var dataLoc = data.filter( i => cName.includes( i.Algorithm ) ); |
|
|
|
|
return dataLoc[pt].size; |
|
|
|
|
}) // Options is diameter, r takes radius so divide by 2 |
|
|
|
|
.style("fill", function () { |
|
|
|
|
var dataLoc = data.filter( i => cName.includes( i.Algorithm ) ); |
|
|
|
|
if (dataLoc[pt].sw) { return "#000000" } |
|
|
|
|
else { return chart.dataPlots.colorFunct(cName) } |
|
|
|
|
})); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
// Bean lines |
|
|
|
|
if (dOpts.showBeanLines) { |
|
|
|
|
cPlot.objs.bean = {g: null, lines: []}; |
|
|
|
|
cPlot.objs.bean.g = cPlot.objs.g.append("g").attr("class", "bean-plot"); |
|
|
|
|
for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) { |
|
|
|
|
cPlot.objs.bean.lines.push(cPlot.objs.bean.g.append("line") |
|
|
|
|
.attr("class", "bean line") |
|
|
|
|
.style("stroke-width", '1') |
|
|
|
|
.style("stroke", chart.dataPlots.colorFunct(cName))); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
}; |
|
|
|
|
@ -1592,7 +1315,19 @@ export default { |
|
|
|
|
} |
|
|
|
|
}, |
|
|
|
|
mounted () { |
|
|
|
|
EventBus.$on('callAlgorithhms', data => { this.ResultsLocal = data }) |
|
|
|
|
EventBus.$on('SendSelectedPointsUpdateIndicator', data => { this.selectedSimple = data }) |
|
|
|
|
EventBus.$on('SendSelectedPointsUpdateIndicatorCM', data => { this.selectedEnsem = data }) |
|
|
|
|
EventBus.$on('SendSelectedPointsUpdateIndicator', this.BeesFun) |
|
|
|
|
EventBus.$on('SendSelectedPointsUpdateIndicatorCM', this.BeesFun) |
|
|
|
|
|
|
|
|
|
EventBus.$on('SendStoredIDsInitial', data => { this.storedCM = data }) |
|
|
|
|
EventBus.$on('SendPerformanceInitialAlgs', data => { |
|
|
|
|
this.PerFCM = data}) |
|
|
|
|
|
|
|
|
|
EventBus.$on('SendPerformance', data => { |
|
|
|
|
this.PerF = data}) |
|
|
|
|
EventBus.$on('SendStoredEnsembleHist', data => { this.storedEnsem = data }) |
|
|
|
|
|
|
|
|
|
EventBus.$on('callAlgorithhms', this.BeesFun) |
|
|
|
|
|
|
|
|
|
EventBus.$on('Responsive', data => { |
|
|
|
|
@ -1670,12 +1405,6 @@ export default { |
|
|
|
|
fill: white !important; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
.chart-wrapper .box-plot .mean { |
|
|
|
|
stroke: white; |
|
|
|
|
stroke-dasharray: 2,1; |
|
|
|
|
stroke-width: 1px; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
@media (max-width:500px){ |
|
|
|
|
.chart-wrapper .box-plot circle {display: none;} |
|
|
|
|
} |
|
|
|
|
@ -1687,17 +1416,6 @@ export default { |
|
|
|
|
opacity: 0.4; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
.chart-wrapper .violin-plot .line { |
|
|
|
|
fill: none; |
|
|
|
|
stroke-width: 2px; |
|
|
|
|
shape-rendering: geometricPrecision; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
/*Notch Plot*/ |
|
|
|
|
.chart-wrapper .notch-plot .notch { |
|
|
|
|
fill-opacity: 0.4; |
|
|
|
|
stroke-width: 2; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
.axis text { |
|
|
|
|
font-size: 16px !important; |
|
|
|
|
|
Angelos Chatzimparmpas
4 years ago