LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced)
LOWESS, a robust regression like LOWESS allows detecton of a trend otherwise with too much variance
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Cite As
Jeff Burkey (2026). LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced) (https://www.mathworks.com/matlabcentral/fileexchange/22470-lowess-locally-weighted-scatterplot-smoothing-for-linear-and-non-linear-data-enhanced), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.4.0 (41.9 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.4.0 | There wasnt really an issue having zero values; rather, when supplying data with no time sequence, the interpolation would error. |
||
| 1.3.0 | Updated graphing. Revised input. Includes example data file. Revised output. |
||
| 1.2.0 | Added a sorting call. Also added a few lines of code allow the user to supply a second set of x-values to be used for y-predictions using the results of the lowess regression. |
||
| 1.1.0 | Added computation of upper and lower smooths of the residuals, also will plot on figure. |
||
| 1.0.0 |