Quick |
The QuickLinearRegression type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Add | Adds a data point to the regression. |
| AddRange | Adds data points to the statistics. |
| AdjustedRSquared | Returns the adjusted squared correlation coeffient. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetA0 | Gets the intercept value of the linear regression. Returns NaN if not enough data points entered. |
| GetA0Error | Gets the error of the parameter A0. |
| GetA1 | Gets the slope value of the linear regression. Returns NaN if not enough data points entered. |
| GetA1Error | Gets the error of the parameter A1. |
| GetConfidenceBand(IEnumerableDouble, Double) | Gets the confidence band of the prediction for multiple x-values. |
| GetConfidenceBand(Double, Double, MatrixDouble) | Gets the confidence band of the prediction. |
| GetCovarianceMatrix | Gets the covariance matrix of the fit. |
| GetDeterminant | Returns the determinant of regression. If zero, not enough data points have been entered. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetIntersectionPoint | Gets the intersection point of two linear regressions |
 | GetRelativeYBetweenRegressions | Gets the relative distance of a point (x, y) between two regression lines. |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetX0 | Gets the intercept of the linear regression with the X-axis. Returns NaN if not enough data points entered. |
| GetYErrorOfX | Gets the mean prediction error of y in dependence on x. |
| GetYOfX | Gets the y value for a given x value. Note that in every call of this function the coefficients a0 and a1 are calculated again. For repeated calls, better use GetYOfXFunction, but note that this function represents the state of the regression at the time of this call. |
| GetYOfXFunction | Returns a function to calculate y in dependence of x. Please note note that the returned function represents the state of the regression at the time of the call, i.e. subsequent additions of data does not change the function. |
| GetYVarianceOfX | Gets the prediction variance in dependence on x. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| RSquared | Returns the squared (Pearson) correlation coefficient R². |
| Sigma | Returns the standard deviation of the regression. |
| SigmaSquared | Returns the squared standard deviation of the regression. |
| SumChiSquared | Returns the sum of squared errors between the original y and the predicted y. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also