SeriesT Class |
public class Series<T> : ISafeIndexed where T : struct, new(), IComparable<T>
The SeriesT type exposes the following members.
| Name | Description | |
|---|---|---|
| Args | Gets the list of arguments from the series. | |
| Count | Gets the number of points in the series. | |
| EnumValues | Gets the list of values from the series. | |
| First | Gets the first point in the series. | |
| ItemIndex | Gets a point given its index. | |
| ItemInt32 | Gets a point given its index. | |
| ItemRange | Extracts a slice from the series. | |
| Kurtosis | Gets the unbiased population kurtosis. | |
| Last | Gets the last point in the series. | |
| Maximum | Returns the maximum value from the series. | |
| Mean | Gets the mean value from the series. | |
| Minimum | Returns the minimum value from the series. | |
| Name | Gets the name of the series. | |
| Points | Gets the sorted list of points. | |
| PopulationKurtosis | Gets the kurtosis from the full population. | |
| PopulationSkewness | Get the skewness from the full population. | |
| PopulationStandardDeviation | Gets the standard deviation from the full population. | |
| PopulationVariance | Gets the variance from the full population. | |
| Skewness | Gets the unbiased population skewness. | |
| StandardDeviation | Gets the unbiased standard deviation. | |
| Stats | Gets statistics on the series. | |
| Ticker | Gets the ticker of the series. | |
| Type | Is this a raw (Prices) series or a derived one? | |
| Values | Gets the values array as a vector. | |
| Variance | Gets the unbiased variance. |
| Name | Description | |
|---|---|---|
| AbsMax | Gets the maximum absolute value. | |
| AbsMin | Gets the minimum absolute value. | |
| ACF | Computes autocorrelation for all lags. | |
| AsLogReturns | Creates a new series based in the logarithmic returns. | |
| AsReturns | Creates a new series based in the returns. | |
| AutoCorrelation | Computes the autocorrelation for a fixed lag. | |
| AutoRegression | Finds the coefficients for an autoregressive model. | |
| Combine | Calculates the weighted sum of an array of series. | |
| Contains | Checks if the series contains the given value. | |
| Correlation | Computes the Pearson correlation between two series. | |
| CorrelationMatrix | Computes the correlation matrix for a group of series. | |
| Correlogram | Computes autocorrelation for a range of lags. | |
| Covariance | Computes the covariance between two series. | |
| CovarianceMatrix | Computes the covariance matrix for a group of series. | |
| Create | Creates a series with integer arguments given its values. | |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) | |
| Fft | Computes the real discrete Fourier transform. | |
| GetHashCode | Serves as the default hash function. (Inherited from Object) | |
| GetSliceStats | Gets statistics on a slice of the series. | |
| GetType | Gets the Type of the current instance. (Inherited from Object) | |
| IndexOf | Returns the zero-based index of the first occurrence of a value. | |
| LinearModel | Multilinear regression based in Ordinary Least Squares. | |
| MovingAverage | Finds the coefficients for a moving average model. | |
| NCdf | The normal cumulative distribution function of the most recent value. | |
| NCdf(Double) | The normal cumulative distribution function. | |
| PACF | Computes the partial autocorrelation for all lags. | |
| Percentiles | Returns ascendenly sorted values. | |
| SafeThis | Safe access to the series' points. If the index is out of range, a zero is returned. | |
| Slice | Takes a slice from a series. | |
| Sum | Calculates the sum of the series values. | |
| ToString | Gets a textual representation of the series. (Overrides ObjectToString) |
| Name | Description | |
|---|---|---|
| Addition(SeriesT, SeriesT) | Creates a new series by adding values from the operands. | |
| Multiply(Double, SeriesT) | Scales values from a series. | |
| Multiply(SeriesT, Double) | Scales values from a series. | |
| Subtraction(SeriesT, SeriesT) | Creates a new series by subtracting values from the operands. |