--- title: "#octave articles | Hashnode" description: "Explore 13 articles tagged #octave on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/octave" --- Tag # #octave 13 posts · 1 followers [Aman Behera](https://hashnode.com/@beingamanforever) · [Aug 6](https://hashnode.com/posts/gsoc-week-10-matlab-alignment/6a74b56ce5833041356e7bb1) ### [GSOC week 10: MATLAB alignment](https://beingamanforever.hashnode.dev/gsoc-week-10-matlab-alignment?utm_source=hashnode&utm_medium=feed) Making Octave’s anova class MATLAB-compatible 2 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-week-10-matlab-alignment?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 30](https://hashnode.com/posts/gsoc-2026-week-9-anova-edge-cases-and-review/6a6b69ee7e20bccb1621b2e1) ### [GSoC 2026 Week 9: ANOVA Edge Cases and Review](https://beingamanforever.hashnode.dev/gsoc-2026-week-9-anova-edge-cases-and-review?utm_source=hashnode&utm_medium=feed) This week focused on strengthening ANOVA behaviour for degenerate, categorical, and high-cardinality designs. I updated anova1 so designs without sufficient degrees of freedom, such as a single group 1 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-9-anova-edge-cases-and-review?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 18](https://hashnode.com/posts/gsoc-2026-week-7-first-anova-performance-pass/6a5b57c48585b64ede0e14bd) ### [GSoC 2026 / Week 7: First ANOVA Performance Pass](https://beingamanforever.hashnode.dev/gsoc-2026-week-7-first-anova-performance-pass?utm_source=hashnode&utm_medium=feed) This week I worked on the first performance pass for the ANOVA routines in the statistics package. The focus was deliberately narrow: improve two hot paths without changing the public interface or num 2 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-7-first-anova-performance-pass?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 8](https://hashnode.com/posts/gsoc-2026-week-4-multcompare-as-one-line-delegation/6a4e88a64c5c8826ace9d32a) ### [GSoC 2026 / Week 4: multcompare() as one-line delegation](https://beingamanforever.hashnode.dev/gsoc-2026-week-4-multcompare-as-one-line-delegation?utm_source=hashnode&utm_medium=feed) Sometimes the right Week 4 is finding out the audit you scheduled does not need to happen 5 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-4-multcompare-as-one-line-delegation?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 8](https://hashnode.com/posts/gsoc-2026-week-3-summary-disp-and-the-plot/6a4e879366edde67500d5ee2) ### [GSoC 2026 / Week 3: summary(), disp(), and the plot](https://beingamanforever.hashnode.dev/gsoc-2026-week-3-summary-disp-and-the-plot?utm_source=hashnode&utm_medium=feed) The user-facing surface arrives. Plus a private helper that lets the LinearModel project ship faster. 6 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-3-summary-disp-and-the-plot?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 8](https://hashnode.com/posts/gsoc-2026-week-5-diagnostic-plots-for-the-anova-object/6a4e896a97d5649706c79439) ### [GSoC 2026 / Week 5: Diagnostic plots for the anova object](https://beingamanforever.hashnode.dev/gsoc-2026-week-5-diagnostic-plots-for-the-anova-object?utm_source=hashnode&utm_medium=feed) The Week 3 skeleton becomes a real public method: four panels, one shared helper, no procedural ANOVA rewrites. 4 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-5-diagnostic-plots-for-the-anova-object?utm_source=hashnode&utm_medium=feed) [Aman Behera](https://hashnode.com/@beingamanforever) · [Jul 8](https://hashnode.com/posts/gsoc-2026-week-6-predict-effect-sizes-and-the-linearmodel-bridge/6a4e8a7a8ae2bb1c45f9b150) ### [GSoC 2026 / Week 6: predict(), effect sizes, and the LinearModel bridge](https://beingamanforever.hashnode.dev/gsoc-2026-week-6-predict-effect-sizes-and-the-linearmodel-bridge?utm_source=hashnode&utm_medium=feed) the anova object now talks to Avanish's LinearModel and exposes the last planned public methods. 5 min read · [beingamanforever.hashnode.dev](https://beingamanforever.hashnode.dev/gsoc-2026-week-6-predict-effect-sizes-and-the-linearmodel-bridge?utm_source=hashnode&utm_medium=feed) [Azmat Khan](https://hashnode.com/@azm999) · [Aug 27, 2023](https://hashnode.com/posts/gsoc23-final-report/64eb4feccec95dea326bead7) ### [GSOC'23: Final Report](https://azm999.hashnode.dev/gsoc23-final-report?utm_source=hashnode&utm_medium=feed) Project Details Title: Addition of regression GAM and kNN classification functionality in statistics package Organization(s): GNU Octave, Google Summer of Code Mentors: Andreas Bertsatos and Nick Jankowski Community Discussion thread : \[ Discourse Th... 4 min read · [azm999.hashnode.dev](https://azm999.hashnode.dev/gsoc23-final-report?utm_source=hashnode&utm_medium=feed) [Azmat Khan](https://hashnode.com/@azm999) · [Aug 26, 2023](https://hashnode.com/posts/gsoc23-week-9-10-implementing-classdef-for-gam-and-comparision-with-other-softwares/64ea489ab8fd8c72ef173f56) ### [GSOC'23 Week 9 & 10: Implementing Classdef for GAM and comparision with other softwares](https://azm999.hashnode.dev/gsoc23-week-9-10-implementing-classdef-for-gam-and-comparision-with-other-softwares?utm_source=hashnode&utm_medium=feed) Classdef in Octave For Matlab compatibility and better representation of GAM model we will need a classdef RegressionGAM for storing the training data and other model parameters. The classdef here would serve as a Representation of the Training data,... 5 min read · [azm999.hashnode.dev](https://azm999.hashnode.dev/gsoc23-week-9-10-implementing-classdef-for-gam-and-comparision-with-other-softwares?utm_source=hashnode&utm_medium=feed) [Azmat Khan](https://hashnode.com/@azm999) · [Jul 24, 2023](https://hashnode.com/posts/gsoc23-week-67-gam-regression-part-1/64e9fc2686052a2ea5505f88) ### [GSOC'23 Week 6&7: GAM Regression Part 1](https://azm999.hashnode.dev/gsoc23-week-67-gam-regression-part-1?utm_source=hashnode&utm_medium=feed) why GAMs ? A Linear Model is Represented as : $$Y=Xβ+ε$$where Y is the Response Variable, X is the predictor data, Beta is the regression Coefficient, and epsilon is the error term. Linear models are known to be all-in-one models when it comes to dat... 4 min read · [azm999.hashnode.dev](https://azm999.hashnode.dev/gsoc23-week-67-gam-regression-part-1?utm_source=hashnode&utm_medium=feed)