|
|
|
|
|
|
 |
 |
|
polyFit[] for Mathematica 5.2
|
|
|
|
|
|
|
|
|
|
|
|
2007-08-29
|
|
|
|
|
|
polyFit[n, {xdata, errX}, {ydata, errY}, #, opts] finds the polynomial expression of the form y = a + b x + c x^2 + ... that fit best with 'xdata' and 'ydata' (it's a least-squares fit)
'n' is the degree of the polynomial, 'errX' and 'errY' are the errors of 'xdata' and 'ydata' (they're optional)
'#' is the output format (graphical or numerical)
The chief advantages in confront of Fit[] are : - the graphical output - error of the parameters - chi-square test and linear-correlation coefficient - error propagation
The function includes a complete and well tested management of input error and own messages.
All the details displayed by ?polyFit (after evaluating the function)
|
|
|
|
|
|
|
|
|
|
|
|
statistic, fit, least-squares, regression, interpolate, chi-square
|
|
|
 |
|
|
| polyFit.m (20.6 KB) - Mathematica Package | | sample.nb (6.1 KB) - Mathematica Notebook |
|
|
|
|
|
|
|
| | | | | |
|
For the newest resources, visit Wolfram Repositories and Archives »
