Aggregators Class

Contains many of the most common aggregation functions.

Definition

Namespace: Numerics.NET.DataAnalysis
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.3

public static class Aggregators

Visual Basic

<ExtensionAttribute>
Public NotInheritable Class Aggregators

C++/CLI

[ExtensionAttribute]
public ref class Aggregators abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
[<ExtensionAttribute>]
type Aggregators = class end

Inheritance: Object → Aggregators

Remarks

Use the Aggregators class to access many common aggregation functions. Most aggregators are returned as AggregatorGroup objects, which means they can be used on untyped data frame columns.

Properties

AbsoluteMax	Gets an aggregator that computes the largest value.
AbsoluteMaxIndex	Gets an aggregator that computes the index of the largest value.
AbsoluteMin	Gets an aggregator that computes the smallest value.
AbsoluteMinIndex	Gets an aggregator that computes the index of the smallest value.
Correlation	Gets an aggregator that computes the correlation.
CorrelationAsDouble	Gets an aggregator that computes the correlation.
CorrelationDistance	Gets an aggregator that computes the correlation.
CosineDistance	Gets an aggregator that computes the mean. The result is returned as a value of the same type.
CosineSimilarity	Gets an aggregator that computes the mean. The result is returned as a value of the same type.
CosineSimilarityAsDouble	Gets an aggregator that computes the correlation.
Count	Gets an aggregator that computes the number of non-missing values.
CountUnique	Gets an aggregator that computes the number of non-missing values.
Covariance	Gets an aggregator that computes the covariance.
CovarianceAsDouble	Gets an aggregator that computes the variance.
DotProduct	Gets an aggregator that computes the dot product.
EuclideanDistance	Gets an aggregator that computes the Euclidean distance.
EuclideanDistanceAsDouble	Gets an aggregator that computes the Euclidean distance.
First	Gets an aggregator that returns the first non-missing value.
FirstQuartile	Gets an aggregator that computes the first quartile.
Kurtosis	Gets an aggregator that computes the kurtosis.
Last	Gets an aggregator that returns the last non-missing value.
LogSumExp	Gets an aggregator that computes the product and returns the result as a Double.
Max	Gets an aggregator that computes the largest value.
MaxIndex	Gets an aggregator that computes the index of the largest value.
Mean	Gets an aggregator that computes the mean. The result is returned as a value of the same type.
MeanAsDouble	Gets an aggregator that computes the mean.
Median	Gets an aggregator that computes the median.
Min	Gets an aggregator that computes the smallest value.
MinIndex	Gets an aggregator that computes the index of the smallest value.
Mode	Gets an aggregator that computes the number of non-missing values.
OneNorm	Gets an aggregator that computes the onenorm. The result is returned as a value of the same type.
OneNormAsDouble	Gets an aggregator that computes the onenorm and returns the result as a Double.
Product	Gets an aggregator that computes the product. The result is returned as a value of the same type.
ProductAsDouble	Gets an aggregator that computes the product and returns the result as a Double.
Range	Gets an aggregator that computes the largest value.
Skewness	Gets an aggregator that computes the skewness.
StandardDeviation	Gets an aggregator that computes the standard deviation. The result is returned as a value of the same type.
StandardDeviationAsDouble	Gets an aggregator that computes the standard deviation.
Sum	Gets an aggregator that computes the sum. The result is returned as a value of the same type.
SumAsDouble	Gets an aggregator that computes the sum and returns the result as a Double.
SumOfAbsoluteDifferences	Gets an aggregator that computes the Sum of Absolute Differences (SAD).
SumOfSquares	Gets an aggregator that computes the sum and returns the result as a Double.
ThirdQuartile	Gets an aggregator that computes the third quartile.
TwoNorm	Gets an aggregator that computes the two-norm and returns the result as a Double.
Variance	Gets an aggregator that computes the variance. The result is returned as a value of the same type.
VarianceAsDouble	Gets an aggregator that computes the variance.
WeightedMean	Gets an aggregator that computes the mean of a sequence weighted by another sequence.
WeightedStandardDeviation	Gets an aggregator that computes the standard deviation of a sequence weighted by another sequence.
WeightedVariance	Gets an aggregator that computes the variance of a sequence weighted by another sequence.

Methods

Create<T, TResult>(Func<Vector<T>, TResult>)	Constructs a new aggregator from a function.
Create<T, TResult, TAccumulator>(Func<TAccumulator, TResult>, AggregatorAttributes, TResult)	Constructs a new aggregator that uses the specified accumulator.
Create<T, TResult, TIntermediate, TAccumulator>(Func<TAccumulator, TResult>, AggregatorAttributes, TResult)
CreateGroup<T, TResult>	Constructs a new aggregator group from a function.
Quantile(Double)	Gets an aggregator that computes the specified quantile.
Quantile(Double, QuantileType)	Gets an aggregator that computes the specified quantile.
Quantile(Double, Int32)	Gets an aggregator that computes the specified quantile.
Skip	Gets an aggregator that returns the first non-missing value after skipping the specified number of values.

Fields

OpenHighLowClose

Defines a set of aggregators that return the OHLC (Open, High, Low, Close) prices.