Uses of Interface
org.apache.commons.statistics.descriptive.StatisticResult
Packages that use StatisticResult
Package
Description
Implementations of univariate statistics.
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Uses of StatisticResult in org.apache.commons.statistics.descriptive
Classes in org.apache.commons.statistics.descriptive with type parameters of type StatisticResultModifier and TypeInterfaceDescriptioninterface
StatisticAccumulator<T extends StatisticResult>
A mutable result container that accumulates aStatisticResult
.Subinterfaces of StatisticResult in org.apache.commons.statistics.descriptiveModifier and TypeInterfaceDescription(package private) interface
Represents theBigInteger
result of a statistic computed over a set of values.interface
Represents a state object for computing a statistic overdouble
valued input(s).interface
Represents a state object for computing a statistic overint
valued input(s).(package private) interface
Represents theint
result of a statistic computed over a set of values.interface
Represents a state object for computing a statistic overlong
valued input(s).(package private) interface
Represents thelong
result of a statistic computed over a set of values.Classes in org.apache.commons.statistics.descriptive that implement StatisticResultModifier and TypeClassDescriptionfinal class
Computes the geometric mean of the available values.final class
Returns the maximum of the available values.final class
Computes the arithmetic mean of the available values.final class
Returns the minimum of the available values.final class
Computes the standard deviation of the available values.final class
Returns the sum of the available values.final class
Returns the sum of the squares of the available values.final class
Computes the variance of the available values.final class
Computes the kurtosis of the available values.final class
Returns the maximum of the available values.final class
Computes the arithmetic mean of the available values.final class
Returns the minimum of the available values.final class
Computes the standard deviation of the available values.final class
Returns the sum of the available values.final class
Returns the sum of the squares of the available values.final class
Computes the variance of the available values.final class
Returns the maximum of the available values.final class
Computes the arithmetic mean of the available values.final class
Returns the minimum of the available values.final class
Returns the product of the available values.final class
Computes the skewness of the available values.final class
Computes the standard deviation of the available values.final class
Returns the sum of the available values.final class
Returns the sum of thenatural logarithm
of available values.final class
Returns the sum of the squares of the available values.final class
Computes the variance of the available values.Methods in org.apache.commons.statistics.descriptive with type parameters of type StatisticResultModifier and TypeMethodDescription(package private) static <T extends StatisticResult & StatisticAccumulator<T>>
voidStatistics.checkCombineCompatible
(T a, T b) Check left-hand side argumenta
isnull
or else the right-hand side argumentb
must also be non-null
so the statistics can be combined.(package private) static <T extends StatisticResult & StatisticAccumulator<T>>
voidStatistics.combine
(T a, T b) If the left-hand side argumenta
is non-null
, combine it with the right-hand side argumentb
.Methods in org.apache.commons.statistics.descriptive that return StatisticResultModifier and TypeMethodDescriptionprivate StatisticResult
DoubleStatistics.getGeometricMean()
Gets the geometric mean.private StatisticResult
IntStatistics.getGeometricMean()
Gets the geometric mean.private StatisticResult
LongStatistics.getGeometricMean()
Gets the geometric mean.private StatisticResult
DoubleStatistics.getKurtosis()
Gets the kurtosis.private StatisticResult
IntStatistics.getKurtosis()
Gets the kurtosis.private StatisticResult
LongStatistics.getKurtosis()
Gets the kurtosis.private StatisticResult
DoubleStatistics.getMean()
Gets the mean.private StatisticResult
IntStatistics.getMean()
Gets the mean.private StatisticResult
LongStatistics.getMean()
Gets the mean.Gets a supplier for the value of the specifiedstatistic
.Gets a supplier for the value of the specifiedstatistic
.Gets a supplier for the value of the specifiedstatistic
.(package private) static StatisticResult
Statistics.getResultAsBigIntegerOrNull
(StatisticResult s) Gets the statistic result using theBigInteger
value.(package private) static StatisticResult
Statistics.getResultAsDoubleOrNull
(StatisticResult s) Gets the statistic result using thedouble
value.(package private) static StatisticResult
Statistics.getResultAsIntOrNull
(StatisticResult s) Gets the statistic result using theint
value.(package private) static StatisticResult
Statistics.getResultAsLongOrNull
(StatisticResult s) Gets the statistic result using thelong
value.private StatisticResult
DoubleStatistics.getSkewness()
Gets the skewness.private StatisticResult
IntStatistics.getSkewness()
Gets the skewness.private StatisticResult
LongStatistics.getSkewness()
Gets the skewness.private StatisticResult
DoubleStatistics.getStandardDeviation()
Gets the standard deviation.private StatisticResult
IntStatistics.getStandardDeviation()
Gets the standard deviation.private StatisticResult
LongStatistics.getStandardDeviation()
Gets the standard deviation.private StatisticResult
DoubleStatistics.getVariance()
Gets the variance.private StatisticResult
IntStatistics.getVariance()
Gets the variance.private StatisticResult
LongStatistics.getVariance()
Gets the variance.private StatisticResult
IntStatistics.getVarianceOrStd
(boolean std) Gets the variance or standard deviation.private StatisticResult
LongStatistics.getVarianceOrStd
(boolean std) Gets the variance or standard deviation.Methods in org.apache.commons.statistics.descriptive with parameters of type StatisticResultModifier and TypeMethodDescription(package private) static StatisticResult
Statistics.getResultAsBigIntegerOrNull
(StatisticResult s) Gets the statistic result using theBigInteger
value.(package private) static StatisticResult
Statistics.getResultAsDoubleOrNull
(StatisticResult s) Gets the statistic result using thedouble
value.(package private) static StatisticResult
Statistics.getResultAsIntOrNull
(StatisticResult s) Gets the statistic result using theint
value.(package private) static StatisticResult
Statistics.getResultAsLongOrNull
(StatisticResult s) Gets the statistic result using thelong
value.