benchpress/ts/src/statistic.ts

import {Math} from 'angular2/src/facade/math';

export class Statistic {
  static calculateCoefficientOfVariation(sample, mean) {
    return Statistic.calculateStandardDeviation(sample, mean) / mean * 100;
  }

  static calculateMean(samples: number[]) {
    var total = 0;
    // TODO: use reduce
    samples.forEach(x => total += x);
    return total / samples.length;
  }

  static calculateStandardDeviation(samples: number[], mean) {
    var deviation = 0;
    // TODO: use reduce
    samples.forEach(x => deviation += Math.pow(x - mean, 2));
    deviation = deviation / (samples.length);
    deviation = Math.sqrt(deviation);
    return deviation;
  }

  static calculateRegressionSlope(xValues: number[], xMean: number, yValues: number[],
                                  yMean: number) {
    // See http://en.wikipedia.org/wiki/Simple_linear_regression
    var dividendSum = 0;
    var divisorSum = 0;
    for (var i = 0; i < xValues.length; i++) {
      dividendSum += (xValues[i] - xMean) * (yValues[i] - yMean);
      divisorSum += Math.pow(xValues[i] - xMean, 2);
    }
    return dividendSum / divisorSum;
  }
}