How to use the median function from mathjs

getAzDoRun.js

GitHub: adoptium/aqa-test-tools

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        ]
    ),
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);
const median = math.round(
    math.median(
        benchmarkMetricsCollection[
            key
        ]
    ),

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+ 454 other calls in file

analyse-code-size.js

GitHub: theburningmonk/lambda-coldstart-comparison

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  return {
    codeSize: rs[0].codeSize,
    memorySize: rs[0].memorySize,
    stddev: math.std(values),
    mean: math.mean(values),
    median: math.median(values),
    '95%-tile': stats.percentile(95),
    '99%-tile': stats.percentile(99)
  };
});

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index.js

GitHub: jly36963/notes

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math.max(numbers);
math.min(numbers);
math.quantileSeq([1, 2, 3, 4, 5], .5) // value at quantile

math.mean(numbers);
math.median(numbers);
math.mode(numbers)
math.std(numbers);
math.variance(numbers);
math.sum(numbers);

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index.js

GitHub: jfoclpf/outliers2d

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module.exports = { ellipseMad, dbscan }


// points should be in format, f.ex: [[1,2],[3,4],[5,6],..]
function ellipseMad (points, _sigma) {
  const sigma = _sigma || 3.5
  const medianPoint = [median(points.map(p => p[0])), median(points.map(p => p[1]))]


  // remove outliers with Median Absolute Deviation (MAD)
  const madValue = [mad(points.map(p => p[0])), mad(points.map(p => p[1]))]

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index.js

GitHub: Kirigaya-Kazuton/IA

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// soma (retorna 6)
console.log('soma:', math.sum([2, 1, 3]));
// média (retorna 2)
console.log('média:', math.mean([2, 1, 3]));
// mediana (número entre o maior e o menor -> 2)
console.log('mediana:', math.median([2, 1, 3]));
// produto (multiplicação)
console.log('produto:', math.prod([2, 1, 3]));
// quadrado (eleva cada elemento)
console.log('quadrado:', math.square([2, 1, 3]));

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+ 2 other calls in file

update_results.js

GitHub: bigf00t/bgpeen

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// Put old outliers back in so we don't mess with the STD too much
const scoresAndOutliers = combineScores(result.scores, result.outlierScores);

const explodedScores = getExplodedScores(scoresAndOutliers);

const medianVal = median(explodedScores);
const madCutoff = 8;

const leftHalf = _.filter(explodedScores, (score) => score <= medianVal);
const rightHalf = _.filter(explodedScores, (score) => score >= medianVal);

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