Vector
Represents transformations that can be applied to a vector.
Definition
Namespace: Extreme.DataAnalysis
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public static class VectorExtensions- Inheritance
- Object → VectorExtensions
Methods
| Apply | Applies Hodrick-Prescott smoothing to the vector. |
| Box | Returns the Box-Cox transform of the vector for the specified parameter. |
| Change | Returns a vector whose observations are the difference between each observation and a previous observation. |
| Exponential | Returns a vector whose observations are the exponential moving average of the observations of the vector. |
| Exponential | Returns a vector whose observations are the exponential moving average of the observations of the vector. |
| Exponential | Returns a vector whose observations are the exponential moving average of the observations of the vector. |
| Extrapolated | Returns a vector whose observations are the extrapolated change of the observations over the specified lag. |
| Extrapolated | Returns a vector whose observations are the extrapolated exponential growth rate of the observations over the specified lag. |
| Extrapolated | Returns a vector whose observations are the extrapolated percentage change of the observations over the specified lag. |
| Growth | Returns a vector whose observations are the exponential growth rate of the observations over the specified lag. |
| Lag<T>(Vector<T>) | Returns a vector whose observations are moved ahead by one observation. |
| Lag<T>(Vector<T>, Int32) | Returns a vector whose observations are moved ahead by the specified number of observations. |
| Lag<T>(Vector<T>, Int32, T) | Returns a vector whose observations are moved ahead by the specified number of observations. |
| Moving | Returns a vector whose observations are the simple moving average of the observations of the vector. |
| Moving | Returns a vector whose observations are the simple moving average of the observations of the vector. |
| Moving | Returns a vector whose observations are the average absolute deviation of a range of observations from observations of another vector. |
| Moving | Returns a vector whose observations are the maximum of a range of observations of the vector. |
| Moving | Returns a vector whose observations are the minimum of a range of observations of the vector. |
| Moving | Returns a vector whose observations are the standard deviation of a range of observations of the vector. |
| Moving | Returns a vector whose observations are the sum of a range of observations of the vector. |
| Percent | Returns a vector whose observations are the percent change of the observations over the specified lag. |
| Period | Returns a vector whose observations are the difference between successive observations over intervals of observations. |
| Period | Returns a vector whose observations are the difference between successive observations over intervals of observations. |
| Period | Returns a vector whose observations are the cumulative sum over intervals of observations. |
| Period | Returns a vector whose observations are the cumulative sum over intervals of observations. |
| Positive | Returns a vector that represents an index comparing positive to negative values in the specified period.. |
| Positive | Returns a vector that represents the ratio of positive to negative values in the specified period.. |
| Quantile<T> | Gets the specified quantile. |
| Quantiles<T> | Gets the specified quantile. |
| Reference | Returns a vector that represents an index value relative to the specified base value. |
| Reference | Returns a vector that represents an index value relative to the specified range of base value. |
| Use | Specifies that backward difference encoding should be used when creating indicator variables. |
| Use | Specifies that deviance encoding should be used when creating indicator variables. |
| Use | Specifies that dummy encoding (also called treatment encoding) should be used when creating indicator variables. |
| Use | Specifies that forward difference encoding should be used when creating indicator variables. |
| Use | Specifies that Helmert encoding should be used when creating indicator variables. |
| Use | Specifies that inverse Helmert encoding should be used when creating indicator variables. |
| Use | Specifies that orthogonal polynomial encoding should be used when creating indicator variables. |
| Use | Specifies that simple encoding should be used when creating indicator variables. |
| Weighted | Returns a vector whose observations are the weighted moving average of the observations of the vector. |
| Weighted | Returns a vector whose observations are the weighted moving average of the observations of the vector. |
| Weighted | Returns a vector whose observations are the weighted moving average of the observations of the vector. |
| Weighted | Returns a vector whose observations are the weighted moving average of the observations of the vector. |
| Weighted | Returns a vector whose observations are the weighted moving average of the observations of the vector. |