Enum ObservationStatistics
- All Implemented Interfaces:
Serializable
,Comparable<ObservationStatistics>
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Enum Constant Summary
Enum ConstantDescriptionThe 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range.The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.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.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.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.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.The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.The [number] of valid measurements over the stated period that contributed to the other statistical outputs.Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.added to help the parsersLinear 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.Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period. -
Method Summary
Modifier and TypeMethodDescriptionstatic ObservationStatistics
toCode()
static ObservationStatistics
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.
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Enum Constant Details
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AVERAGE
The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period. -
MAXIMUM
The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value 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. -
COUNT
The [number] of valid measurements over the stated period that contributed to the other statistical outputs. -
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
The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period. -
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. -
VARIANCE
The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period. -
_20PERCENT
The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period. -
_80PERCENT
The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period. -
_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. -
_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
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. -
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
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
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
added to help the parsers
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Method Details
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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
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valueOf
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 nameNullPointerException
- if the argument is null
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fromCode
public static ObservationStatistics fromCode(String codeString) throws org.hl7.fhir.exceptions.FHIRException - Throws:
org.hl7.fhir.exceptions.FHIRException
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toCode
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getSystem
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getDefinition
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getDisplay
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