/** * Returns a statistic related to the Second Central Moment. Specifically, * what is returned is the sum of squared deviations from the sample mean * among the all of the aggregated data. * * @return second central moment statistic * @see SummaryStatistics#getSecondMoment() */ public double getSecondMoment() { synchronized (statistics) { return statistics.getSecondMoment(); } }
/** * Generates a text report displaying summary statistics from values that * have been added. * @return String with line feeds displaying statistics * @since 1.2 */ @Override public String toString() { StringBuilder outBuffer = new StringBuilder(); String endl = "\n"; outBuffer.append("SummaryStatistics:").append(endl); outBuffer.append("n: ").append(getN()).append(endl); outBuffer.append("min: ").append(getMin()).append(endl); outBuffer.append("max: ").append(getMax()).append(endl); outBuffer.append("sum: ").append(getSum()).append(endl); outBuffer.append("mean: ").append(getMean()).append(endl); outBuffer.append("geometric mean: ").append(getGeometricMean()) .append(endl); outBuffer.append("variance: ").append(getVariance()).append(endl); outBuffer.append("population variance: ").append(getPopulationVariance()).append(endl); outBuffer.append("second moment: ").append(getSecondMoment()).append(endl); outBuffer.append("sum of squares: ").append(getSumsq()).append(endl); outBuffer.append("standard deviation: ").append(getStandardDeviation()) .append(endl); outBuffer.append("sum of logs: ").append(getSumOfLogs()).append(endl); return outBuffer.toString(); }
private static Stats getStats(NumericColumn<?> values, SummaryStatistics summaryStatistics) { Stats stats = new Stats("Column: " + values.name()); stats.min = summaryStatistics.getMin(); stats.max = summaryStatistics.getMax(); stats.n = summaryStatistics.getN(); stats.sum = summaryStatistics.getSum(); stats.variance = summaryStatistics.getVariance(); stats.populationVariance = summaryStatistics.getPopulationVariance(); stats.quadraticMean = summaryStatistics.getQuadraticMean(); stats.geometricMean = summaryStatistics.getGeometricMean(); stats.mean = summaryStatistics.getMean(); stats.standardDeviation = summaryStatistics.getStandardDeviation(); stats.sumOfLogs = summaryStatistics.getSumOfLogs(); stats.sumOfSquares = summaryStatistics.getSumsq(); stats.secondMoment = summaryStatistics.getSecondMoment(); return stats; }
/** * Returns a statistic related to the Second Central Moment. Specifically, * what is returned is the sum of squared deviations from the sample mean * among the all of the aggregated data. * * @return second central moment statistic * @see SummaryStatistics#getSecondMoment() */ public double getSecondMoment() { synchronized (statistics) { return statistics.getSecondMoment(); } }
/** * Returns a statistic related to the Second Central Moment. Specifically, * what is returned is the sum of squared deviations from the sample mean * among the all of the aggregated data. * * @return second central moment statistic * @see SummaryStatistics#getSecondMoment() */ public double getSecondMoment() { synchronized (statistics) { return statistics.getSecondMoment(); } }
/** * Generates a text report displaying summary statistics from values that * have been added. * @return String with line feeds displaying statistics * @since 1.2 */ @Override public String toString() { StringBuilder outBuffer = new StringBuilder(); String endl = "\n"; outBuffer.append("SummaryStatistics:").append(endl); outBuffer.append("n: ").append(getN()).append(endl); outBuffer.append("min: ").append(getMin()).append(endl); outBuffer.append("max: ").append(getMax()).append(endl); outBuffer.append("sum: ").append(getSum()).append(endl); outBuffer.append("mean: ").append(getMean()).append(endl); outBuffer.append("geometric mean: ").append(getGeometricMean()) .append(endl); outBuffer.append("variance: ").append(getVariance()).append(endl); outBuffer.append("population variance: ").append(getPopulationVariance()).append(endl); outBuffer.append("second moment: ").append(getSecondMoment()).append(endl); outBuffer.append("sum of squares: ").append(getSumsq()).append(endl); outBuffer.append("standard deviation: ").append(getStandardDeviation()) .append(endl); outBuffer.append("sum of logs: ").append(getSumOfLogs()).append(endl); return outBuffer.toString(); }
/** * Generates a text report displaying summary statistics from values that * have been added. * @return String with line feeds displaying statistics * @since 1.2 */ @Override public String toString() { StringBuilder outBuffer = new StringBuilder(); String endl = "\n"; outBuffer.append("SummaryStatistics:").append(endl); outBuffer.append("n: ").append(getN()).append(endl); outBuffer.append("min: ").append(getMin()).append(endl); outBuffer.append("max: ").append(getMax()).append(endl); outBuffer.append("sum: ").append(getSum()).append(endl); outBuffer.append("mean: ").append(getMean()).append(endl); outBuffer.append("geometric mean: ").append(getGeometricMean()) .append(endl); outBuffer.append("variance: ").append(getVariance()).append(endl); outBuffer.append("population variance: ").append(getPopulationVariance()).append(endl); outBuffer.append("second moment: ").append(getSecondMoment()).append(endl); outBuffer.append("sum of squares: ").append(getSumsq()).append(endl); outBuffer.append("standard deviation: ").append(getStandardDeviation()) .append(endl); outBuffer.append("sum of logs: ").append(getSumOfLogs()).append(endl); return outBuffer.toString(); }
@Test public void youCanGetTheRegressionCoefficients() { double s_xy = xyStats.getSum() - (xStats.getSum() * yStats.getSum() / xStats.getN()); double s_xx = xStats.getSecondMoment(); double expectedGradient = s_xy / s_xx; assertThat(stats.estimatedGradient(), equalTo(expectedGradient)); double expectedIntercept = yStats.getMean() - expectedGradient * xStats.getMean(); assertThat(stats.estimatedIntercept(), equalTo(expectedIntercept)); }
private static Stats getStats(NumericColumn<?> values, SummaryStatistics summaryStatistics) { Stats stats = new Stats("Column: " + values.name()); stats.min = summaryStatistics.getMin(); stats.max = summaryStatistics.getMax(); stats.n = summaryStatistics.getN(); stats.sum = summaryStatistics.getSum(); stats.variance = summaryStatistics.getVariance(); stats.populationVariance = summaryStatistics.getPopulationVariance(); stats.quadraticMean = summaryStatistics.getQuadraticMean(); stats.geometricMean = summaryStatistics.getGeometricMean(); stats.mean = summaryStatistics.getMean(); stats.standardDeviation = summaryStatistics.getStandardDeviation(); stats.sumOfLogs = summaryStatistics.getSumOfLogs(); stats.sumOfSquares = summaryStatistics.getSumsq(); stats.secondMoment = summaryStatistics.getSecondMoment(); return stats; }
private static Stats getStats(DoubleColumn values, SummaryStatistics summaryStatistics) { Stats stats = new Stats("Column: " + values.name()); stats.min = (float) summaryStatistics.getMin(); stats.max = (float) summaryStatistics.getMax(); stats.n = summaryStatistics.getN(); stats.sum = summaryStatistics.getSum(); stats.variance = summaryStatistics.getVariance(); stats.populationVariance = summaryStatistics.getPopulationVariance(); stats.quadraticMean = summaryStatistics.getQuadraticMean(); stats.geometricMean = summaryStatistics.getGeometricMean(); stats.mean = summaryStatistics.getMean(); stats.standardDeviation = summaryStatistics.getStandardDeviation(); stats.sumOfLogs = summaryStatistics.getSumOfLogs(); stats.sumOfSquares = summaryStatistics.getSumsq(); stats.secondMoment = summaryStatistics.getSecondMoment(); return stats; }
private static Stats getStats(FloatColumn values, SummaryStatistics summaryStatistics) { Stats stats = new Stats("Column: " + values.name()); stats.min = (float) summaryStatistics.getMin(); stats.max = (float) summaryStatistics.getMax(); stats.n = summaryStatistics.getN(); stats.sum = summaryStatistics.getSum(); stats.variance = summaryStatistics.getVariance(); stats.populationVariance = summaryStatistics.getPopulationVariance(); stats.quadraticMean = summaryStatistics.getQuadraticMean(); stats.geometricMean = summaryStatistics.getGeometricMean(); stats.mean = summaryStatistics.getMean(); stats.standardDeviation = summaryStatistics.getStandardDeviation(); stats.sumOfLogs = summaryStatistics.getSumOfLogs(); stats.sumOfSquares = summaryStatistics.getSumsq(); stats.secondMoment = summaryStatistics.getSecondMoment(); return stats; } }