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How to use buildLineTrend method in Best

Best JavaScript code snippet using best

plots.js

Source:plots.js

...48            t: 0,49        },50    };51}52function buildLineTrend({ dates, values, name, commits }, showsVariation) {53    return {54        y: values,55        x: commits.map((commit) => commit.slice(0, 7)),56        text: dates,57        mode: 'lines+markers',58        name,59        line: {60            shape: 'spline',61            width: 2,62            color: colorForName(name, true),63        },64        opacity: 0.8,65        type: 'scatter',66        hoveron: 'points+fills',67        hovertemplate: '%{y}ms<br>%{text}<extra></extra>',68        fill: showsVariation ? 'none' : 'tozeroy',69    };70}71function buildVarianceTrend({ dates, values, name, commits }) {72    return {73        y: values,74        x: commits.map((commit) => commit.slice(0, 7)),75        text: dates,76        mode: 'lines',77        name: name,78        line: {79            shape: 'spline',80            color: 'transparent',81        },82        fill: 'tonexty',83        fillcolor: name.includes('high') ? colorForName(name, false) : 'transparent',84        showlegend: false,85        hoverinfo: 'skip',86        hoveron: 'fills',87    };88}89function buildTrend(object, showsVariation) {90    if (object.type === 'filled') {91        return buildVarianceTrend(object);92    } else if (object.type === 'line') {93        return buildLineTrend(object, showsVariation);94    }95    return {};96}97function sumArrays(array1, array2, mul = 1) {98    return array1.map((num, idx) => num + mul * array2[idx]);99}100function buildCombinedValues(metrics, benchmark) {101    return metrics.map((metric) => [102        {103            commits: benchmark.commits,104            dates: benchmark.commitDates,105            values: metric.durations,106            name: metric.name,107            type: 'line',108        },109        {110            commits: benchmark.commits,111            dates: benchmark.commitDates,112            values: sumArrays(metric.durations, metric.stdDeviations, -1),113            name: metric.name + '-low',114            type: 'filled',115        },116        {117            commits: benchmark.commits,118            dates: benchmark.commitDates,119            values: sumArrays(metric.durations, metric.stdDeviations),120            name: metric.name + '-high',121            type: 'filled',122        },123    ]);124}125export function normalizeTitle(benchmarkName) {126    const parts = benchmarkName.split(':');127    parts.shift();128    return parts.join(':');129}130export function buildTrends(benchmark, showsVariation = true) {131    let trends;132    if (showsVariation) {133        // create a combined dataset for graphing that has the low, high, and median values134        const combinedDatasets = buildCombinedValues(benchmark.metrics, benchmark);135        // for each metric and then for each of (median, low, high) create the trend layout136        trends = combinedDatasets.flatMap((combined) => combined.map((set) => buildTrend(set, showsVariation)));137    } else {138        trends = benchmark.metrics.map((metric) =>139            buildLineTrend(140                {141                    commits: benchmark.commits,142                    keys: benchmark.commitDates,143                    values: metric.durations,144                    name: metric.name,145                },146                showsVariation,147            ),148        );149    }150    return trends;151}152export async function drawPlot(element, trends, layout) {153    await window.Plotly.react(element, trends, layout, {...

Using AI Code Generation

1var BestFitLine = require('./BestFitLine.js');2var x = [1, 2, 3, 4, 5, 6, 7, 8, 9];3var y = [1, 3, 2, 5, 7, 8, 8, 9, 10];4var lineTrend = new BestFitLine(x, y);5var result = lineTrend.buildLineTrend();6console.log(result);

Using AI Code Generation

1var BestFitLine = require('./BestFitLine');2var bfl = new BestFitLine();3var x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];4var y = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20];5var line = bfl.buildLineTrend(x, y);6console.log('The line is: y = ' + line.m + 'x + ' + line.b);7### buildLineTrend(x, y)8var BestFitLine = require('./BestFitLine');9var bfl = new BestFitLine();10var x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];11var y = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20];12var line = bfl.buildLineTrend(x, y);13console.log('The line is: y = ' + line.m + 'x + ' + line.b);14The MIT License (MIT)

Using AI Code Generation

1var bestFit = require('BestFit');2var x = [0, 1, 2, 3, 4];3var y = [0, 1, 2, 3, 4];4var result = bestFit.buildLineTrend(x, y);5console.log("Slope: " + result.slope);6console.log("Intercept: " + result.intercept);7console.log("R^2: " + result.r2);8console.log("Equation: " + result.equation);9console.log("Equation: " + result.equation);

Using AI Code Generation

1var BestFitLine = require('./BestFitLine.js');2var BestFitLine = new BestFitLine();3var x = [0, 1, 2, 3, 4, 5];4var y = [0, 1, 2, 3, 4, 5];5var line = BestFitLine.buildLineTrend(x, y);6console.log(line);7MIT License (MIT)

Using AI Code Generation

1var chart = am4core.create("chartdiv", am4charts.XYChart);2chart.data = [{3}, {4}, {5}, {6}, {7}];8var categoryAxis = chart.xAxes.push(new am4charts.CategoryAxis());9categoryAxis.dataFields.category = "year";10var valueAxis = chart.yAxes.push(new am4charts.ValueAxis());11var series = chart.series.push(new am4charts.LineSeries());12series.dataFields.valueY = "income";13series.dataFields.categoryX = "year";14series.strokeWidth = 2;15series.minBulletDistance = 15;16var bullet = series.bullets.push(new am4charts.CircleBullet());17bullet.circle.strokeWidth = 2;18var label = series.bullets.push(new am4charts.LabelBullet());19label.label.text = "{valueY}";20label.label.horizontalCenter = "left";21label.label.dx = 10;22var range = valueAxis.axisRanges.create();23range.value = 28;24range.grid.stroke = am4core.color("#396478");25range.grid.strokeWidth = 2;26range.grid.strokeOpacity = 1;27range.label.inside = true;28range.label.text = "Average";29range.label.fill = range.grid.stroke;30range.label.verticalCenter = "bottom";31range.label.dy = -10;32var range2 = categoryAxis.axisRanges.create();33range2.value = "2007";34range2.grid.stroke = range.grid.stroke;35range2.grid.strokeWidth = range.grid.strokeWidth;36range2.grid.strokeOpacity = range.grid.strokeOpacity;37range2.label.inside = true;38range2.label.text = "Peak year";39range2.label.fill = range.grid.stroke;40range2.label.rotation = 90;41range2.label.horizontalCenter = "left";42range2.label.dx = 10;

Using AI Code Generation

1var canvas = document.getElementById("myCanvas");2var context = canvas.getContext("2d");3var data = [ { x: 1, y: 1 }, { x: 2, y: 2 }, { x: 3, y: 4 }, { x: 4, y: 7 }, { x: 5, y: 11 }, { x: 6, y: 16 }, { x: 7, y: 22 }, { x: 8, y: 29 }, { x: 9, y: 37 }, { x: 10, y: 46 } ];4var trend = BestFitLine.buildLineTrend(data);5var x1 = 0;6var y1 = trend.slope * x1 + trend.intercept;7var x2 = 100;8var y2 = trend.slope * x2 + trend.intercept;9context.beginPath();10context.moveTo(x1, y1);11context.lineTo(x2, y2);12context.stroke();13var BestFitLine = {14buildLineTrend: function (data) {15var x = 0;16var y = 0;17var xx = 0;18var xy = 0;19var count = 0;20var xbar = 0;21var ybar = 0;22var slope = 0;23var intercept = 0;24var rsquared = 0;25var i = 0;26var diffSq = 0;27var diff = 0;28var sumDiffSq = 0;29var sumDiff = 0;30var stdev = 0;31var sumSq = 0;32var sum = 0;33var avg = 0;34var variance = 0;35var n = data.length;36for (i = 0; i < data.length; i++) {37x = data[i].x;38y = data[i].y;39xx += x * x;40xy += x * y;41count++;42}43xbar = x / count;44ybar = y / count;45slope = (count * xy - x * y) / (count * xx - x * x);46intercept = (ybar * xx - xbar

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