Package org.hl7.fhir.dstu3.model.codesystems

Enum ObservationStatistics

java.lang.Object
java.lang.Enum<ObservationStatistics>
org.hl7.fhir.dstu3.model.codesystems.ObservationStatistics
All Implemented Interfaces:
Serializable, Comparable<ObservationStatistics>
public enum ObservationStatistics extends 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

  • Method Summary

    Modifier and Type
    Method
    Description
    static ObservationStatistics
    fromCode(String codeString)
     
    String
    getDefinition()
     
    String
    getDisplay()
     
    String
    getSystem()
     
    String
    toCode()
     
    static ObservationStatistics
    valueOf(String name)
    Returns the enum constant of this type with the specified name.
    static ObservationStatistics[]
    values()
    Returns an array containing the constants of this enum type, in the order they are declared.

    Methods inherited from class java.lang.Enum

    clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

    Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait

  • Enum Constant Details

    • 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.

    • NULL

      public static final ObservationStatistics NULL
      added to help the parsers

  • Method Details

    • values

      public static ObservationStatistics[] values()
      Returns an array containing the constants of this enum type, in the order they are declared.
      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

    • fromCode

      public static ObservationStatistics fromCode(String codeString) throws org.hl7.fhir.exceptions.FHIRException
      Throws:
      org.hl7.fhir.exceptions.FHIRException

    • toCode

      public String toCode()

    • getSystem

      public String getSystem()

    • getDefinition

      public String getDefinition()

    • getDisplay

      public String getDisplay()