doWeights

This function applies an integer weight set to an array of (x,y) data points. It normally is only called from <code>fitConic</code> but can be applied directly to a dataset if desired.

Fit data to an ellipse, hyperbola, or parabola. Bootstrapping is available when needed. The conic curve can be rotated through an arbitrary angle and the fit will still succeed. Helper functions are provided to convert generator coefficients from one style to another, generate test data sets, rotate conic section parameters, and so on. References include Nikolai Chernov (2014) "Fitting ellipses, circles, and lines by least squares" <https://people.cas.uab.edu/~mosya/cl/>; A. W. Fitzgibbon, M. Pilu, R. B. Fisher (1999) "Direct Least Squares Fitting of Ellipses" IEEE Trans. PAMI, Vol. 21, pages 476-48; N. Chernov, Q. Huang, and H. Ma (2014) "Fitting quadratic curves to data points", British Journal of Mathematics & Computer Science, 4, 33-60; N. Chernov and H. Ma (2011) "Least squares fitting of quadratic curves and surfaces", Computer Vision, Editor S. R. Yoshida, Nova Science Publishers, pp. 285-302.

Carl Witthoft

fitConic

Fit Data to Any Conic Section

Jose Gama

Nikolai Chernov

doWeights function

<dl> <dt>XY</dt>
<dd>A Nx2 array of data representing (x,y) pairs</dd>
<dt>weights</dt>
<dd>A vector of weights the same length as the number of rows in XY. At this time, only nonnegative integer values are allowed. Doubles are rounded and negative values are set to zero. A zero weight will remove the matching data value from the dataset.</dd></dl>

Arguments

Carl Witthoft &lt;carl@witthoft.com&gt;

Author

Function to Apply Weights to Data — doWeights

<dl>

 <dt>XY</dt>
<dd>A Nx2 array of data representing (x,y) pairs</dd>


<dt>weights</dt>
<dd>A vector of weights the same length as the number of rows in XY. At this time, only nonnegative integer values are allowed. Doubles are rounded and negative values are set to zero. A zero weight will remove the matching data value from the dataset.</dd>

</dl>

doWeights: Function to Apply Weights to Data

Description

Usage

Value

Arguments

Author