Documentation
¶
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type Lowess ¶
type Lowess struct {
X []float64 // X data (ie. Capacity)
Y []float64 // Y data (ie. Voltage)
Z []float64 // intermediate smoothing result (ie. previous iteration)
Result []float64 // final smoothing reuslt (ie. latest iteration)
Iterations int // number of iterations
Points int // Lowess window size = 2 * Points
Lowesswindow // Calculated values for Lowess window
}
func NewLowess ¶
Does the local weighted scatterplot smoothing using linear regression. Based on article 'Robust Locally Weighted Regression and Smoothing Scatterplots' by William S. Cleveland 1979 frac determines how much data is used for a single linear regression. If frac <=1, it takes the given fraction of the total number of data points, rounded down If frac > 1, then the value is the actual number of points used in the given Iterations tells how many times the y weighting is done. If 0, y weighting is not done. Result is given as l.Result NOTE: Function assumes x to be in ascending order !!
type Lowesswindow ¶
type Lowesswindow struct {
// contains filtered or unexported fields
}
Source Files
Click to show internal directories.
Click to hide internal directories.