Enum ObservationStatistics

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
      _20PERCENT
      The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period
      _4DEV
      The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range.
      _4LOWER
      The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period
      _4UPPER
      The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period
      _51
      The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      _52
      The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      _53
      The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      _54
      The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      _80PERCENT
      The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period
      AVERAGE
      The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period
      COUNT
      The [number] of valid measurements over the stated period that contributed to the other statistical outputs
      KURTOSIS
      Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.
      MAXIMUM
      The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period
      MEDIAN
      The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period
      MINIMUM
      The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period
      NULL
      added to help the parsers
      REGRESSION
      Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables.
      SKEW
      Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
      STDDEV
      The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period
      SUM
      The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period
      TOTALCOUNT
      The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values
      VARIANCE
      The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period
    • Enum Constant Detail

      • AVERAGE

        public static final ObservationStatistics AVERAGE
        The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period
      • MAXIMUM

        public static final ObservationStatistics MAXIMUM
        The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period
      • MINIMUM

        public static final ObservationStatistics MINIMUM
        The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period
      • COUNT

        public static final ObservationStatistics COUNT
        The [number] of valid measurements over the stated period that contributed to the other statistical outputs
      • TOTALCOUNT

        public static final ObservationStatistics TOTALCOUNT
        The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values
      • MEDIAN

        public static final ObservationStatistics MEDIAN
        The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period
      • STDDEV

        public static final ObservationStatistics STDDEV
        The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period
      • SUM

        public static final ObservationStatistics SUM
        The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period
      • VARIANCE

        public static final ObservationStatistics VARIANCE
        The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period
      • _20PERCENT

        public static final ObservationStatistics _20PERCENT
        The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period
      • _80PERCENT

        public static final ObservationStatistics _80PERCENT
        The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period
      • _4LOWER

        public static final ObservationStatistics _4LOWER
        The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period
      • _4UPPER

        public static final ObservationStatistics _4UPPER
        The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period
      • _4DEV

        public static final ObservationStatistics _4DEV
        The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.
      • _51

        public static final ObservationStatistics _51
        The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      • _52

        public static final ObservationStatistics _52
        The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      • _53

        public static final ObservationStatistics _53
        The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      • _54

        public static final ObservationStatistics _54
        The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population
      • SKEW

        public static final ObservationStatistics SKEW
        Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: [Wikipedia](https://en.wikipedia.org/wiki/Skewness)
      • KURTOSIS

        public static final ObservationStatistics KURTOSIS
        Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis)
      • REGRESSION

        public static final ObservationStatistics REGRESSION
        Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value.
    • Method Detail

      • values

        public static ObservationStatistics[] values()
        Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:
        for (ObservationStatistics c : ObservationStatistics.values())
            System.out.println(c);
        
        Returns:
        an array containing the constants of this enum type, in the order they are declared
      • valueOf

        public static ObservationStatistics valueOf​(String name)
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        name - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        IllegalArgumentException - if this enum type has no constant with the specified name
        NullPointerException - if the argument is null