# How to use the mathjs.sum function in mathjs

## To help you get started, we’ve selected a few mathjs examples, based on popular ways it is used in public projects.

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xFFFFF / Gekko-Strategies / n8_v2 / n8_v2.js View on Github
//  console.log('low:\t', low);

if(percentvar &gt; low){
var lowper = low - percentvar;
Lowdiff.push(lowper);
}
if(percentvar &lt; top){
var topper = top - percentvar;
Topdiff.push(topper);
}

if(Lowdiff.length &gt; 20){Lowdiff.shift()}
if(Topdiff.length &gt; 20){Topdiff.shift()}

lowup = math.sum(Lowdiff) / Lowdiff.length;
topup = math.sum(Topdiff) / Topdiff.length;

//  console.log('topup', topup);
//  console.log('differnce:', lowper);
//  console.log('lowup', lowup);
// console.log(' ');

global.sig0 = global.meanp &lt; global.mean &amp;&amp; meanp != 0

if (global.sig0 === false  &amp;&amp; percentvar &gt; low){
ManageSize();
}

if (global.sig0 === false  &amp;&amp; percentvar &gt; (low - lowup) &amp;&amp; hasbought === false &amp;&amp; candle.close &gt; previousprice)
{
kengz / Risk-game / functions.js View on Github
sum: function(v) {
return m.sum(v);
},
// sum the rows in matrix a, return column
kengz / Risk-game / functions.js View on Github
        function f(x) { return m.sum(x); }
return _.map(a, f);
Zooz / predator / src / reports / models / aggregateReportGenerator.js View on Github
} else {
result.errors[error] = count;
}
});
});

result.latency.median = math.median(requestMedians);
result.latency.min = math.min(requestMins);
result.latency.max = math.max(requestMaxs);
result.latency.p95 = math.sum(request95) / result.requestsCompleted;
result.latency.p99 = math.sum(request99) / result.requestsCompleted;

result.scenarioDuration.median = math.median(scenarioMedians);
result.scenarioDuration.min = math.min(scenarioMins);
result.scenarioDuration.max = math.max(scenarioMaxs);
result.scenarioDuration.p95 = math.sum(scenario95) / result.scenariosCompleted;
result.scenarioDuration.p99 = math.sum(scenario99) / result.scenariosCompleted;

return result;
}
yongjun21 / loess / src / index.js View on Github
const halfwidth = weights.map((weight, idx) => {
const V1 = math.sum(weight)
const V2 = math.multiply(weight, weight)
const intervalEstimate = Math.sqrt(math.multiply(math.square(residuals[idx]), weight) / (V1 - V2 / V1))
return intervalEstimate * z
})
Object.assign(output, {halfwidth})
Zooz / predator / src / reports / models / finalReportGenerator.js View on Github
} else {
result.errors[error] = count;
}
});

result.rps.count += stats.rps.count;
result.requestsCompleted += stats.requestsCompleted;

result.pendingRequests += stats.pendingRequests;
});

result.rps.mean = result.rps.count / STATS_INTERVAL;
result.latency.median = math.median(medians);
result.latency.min = math.min(mins);
result.latency.max = math.max(maxs);
result.latency.p95 = math.sum(request95) / result.requestsCompleted;
result.latency.p99 = math.sum(request99) / result.requestsCompleted;

result.scenarioDuration.p95 = math.sum(scenario95) / result.scenariosCompleted;
result.scenarioDuration.p99 = math.sum(scenario99) / result.scenariosCompleted;

return result;
}
Zooz / predator / src / reports / models / aggregateReportGenerator.js View on Github
result.codes[code.toString()] = count;
}
});
_.each(stats.errors, function (count, error) {
if (result.errors[error]) {
result.errors[error] += count;
} else {
result.errors[error] = count;
}
});
});

result.latency.median = math.median(requestMedians);
result.latency.min = math.min(requestMins);
result.latency.max = math.max(requestMaxs);
result.latency.p95 = math.sum(request95) / result.requestsCompleted;
result.latency.p99 = math.sum(request99) / result.requestsCompleted;

result.scenarioDuration.median = math.median(scenarioMedians);
result.scenarioDuration.min = math.min(scenarioMins);
result.scenarioDuration.max = math.max(scenarioMaxs);
result.scenarioDuration.p95 = math.sum(scenario95) / result.scenariosCompleted;
result.scenarioDuration.p99 = math.sum(scenario99) / result.scenariosCompleted;

return result;
}
Zooz / predator / src / reports / models / finalReportGenerator.js View on Github
});

result.rps.count += stats.rps.count;
result.requestsCompleted += stats.requestsCompleted;

result.pendingRequests += stats.pendingRequests;
});

result.rps.mean = result.rps.count / STATS_INTERVAL;
result.latency.median = math.median(medians);
result.latency.min = math.min(mins);
result.latency.max = math.max(maxs);
result.latency.p95 = math.sum(request95) / result.requestsCompleted;
result.latency.p99 = math.sum(request99) / result.requestsCompleted;

result.scenarioDuration.p95 = math.sum(scenario95) / result.scenariosCompleted;
result.scenarioDuration.p99 = math.sum(scenario99) / result.scenariosCompleted;

return result;
}
SpatialTranscriptomicsResearch / st_spot_detector / client / src / app / viewer / spots.js View on Github
loadSpots(spots, tissueMask) {
const ds = _.filter(_.map(spots, _.last), x => x > 0);
this.avgDiameter = math.sum(ds) / ds.length;
this.spots = _.map(spots, props => this.createSpot(...props));
}
}
ElliotPenson / fractal.parts / frontend / src / graphics / geometry.js View on Github
export function isInside(point, corners) {
const { topLeft, topRight, bottomLeft, bottomRight } = corners;
const triangles = [
findTriangleArea(topLeft, point, bottomRight),
findTriangleArea(bottomRight, point, bottomLeft),
findTriangleArea(bottomLeft, point, topRight),
findTriangleArea(point, topRight, topLeft)
];
return sum(...triangles) &lt;= findRectangleArea(corners);
}

## mathjs

Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif

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