Multidimensional Plotting

버전 1.3.1 (20.2 KB) 작성자: Ben Senderling
This package allows multidimensional vectors to be transformed into a three dimensional space and visualized.
다운로드 수: 907
업데이트 2021/7/17

Multidimensional-plotting

This package uses the geometry of regular polyhedra to create axes representing multiple dimensions. It allows multi-dimentional data to be transformed and visualized in a three-dimentional space. Plotting in a one-dimensional system up to an eight dimensional system is currently possible. Not all of these are perfect representations of a multidimentional space. Those are spaces with 5, 6 and 7 dimensions. They are created by combinations of other geometries.

Installation

The code will need to be added to your MATLAB path.

Usage

[x, y, z] = plotMD(x) Plots each column as a seperate dimension.

[x, y, z] = plotMD(x,y) Plots each column of the variable inputs in seperate dimensions.

[x, y, z] = plotMD(x,y,z) Plots three time series using as many dimensions as necessary.

[x, y, z] = plotsMD(x,y,z,w,...) Plots four, or more, time series using as many dimensions as the total number of columns.

phsprecon(yy) Provide a graphical interfase through which to explore plotting in multiple dimensions.

Contributing

If you'd like to make changes feel free to initiate a pull request with a full description of what you have changed. If there is an issue please create an issue first so we can discuss it and plan future improvements.

License

GNU

인용 양식

Ben Senderling (2026). Multidimensional Plotting (https://github.com/bensenderling/Multidimensional-plotting/releases/tag/v1.3.1), GitHub. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2015b
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카테고리
Help CenterMATLAB Answers에서 z-transforms에 대해 자세히 알아보기
버전 게시됨 릴리스 정보
1.3.1

See release notes for this release on GitHub: https://github.com/bsenderling/Multidimensional-plotting/releases/tag/v1.3.1

1.3.0

See release notes for this release on GitHub: https://github.com/bsenderling/Multidimensional-plotting/releases/tag/v1.3.0

1.2.0.0

Added a check to ensure the embedding dimension and time lag don't exhaust the number of points in the time series.

1.1.0.0

Adjusted the axes limit calculation to better view the phase space.

1.0.0.0

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