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Introduction — spm1d 0.3.0 documentation

New Features (version 0.3). New Features (ve. ». Is a package for one-dimensional Statistical Parametric Mapping. It uses Random Field Theory. To make statistical inferences regarding registered (normalized) sets of 1D measurements. Please submit bug reports and questions to spm1d’s github site. New Features (version 0.3). M-way repeated measures ANOVA. MATLAB syntax = Python syntax. License agreement for spm1d.

http://www.spm1d.org/

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Introduction — spm1d 0.3.0 documentation | spm1d.org Reviews
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New Features (version 0.3). New Features (ve. ». Is a package for one-dimensional Statistical Parametric Mapping. It uses Random Field Theory. To make statistical inferences regarding registered (normalized) sets of 1D measurements. Please submit bug reports and questions to spm1d’s github site. New Features (version 0.3). M-way repeated measures ANOVA. MATLAB syntax = Python syntax. License agreement for spm1d.
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Introduction — spm1d 0.3.0 documentation | spm1d.org Reviews

https://spm1d.org

New Features (version 0.3). New Features (ve. ». Is a package for one-dimensional Statistical Parametric Mapping. It uses Random Field Theory. To make statistical inferences regarding registered (normalized) sets of 1D measurements. Please submit bug reports and questions to spm1d’s github site. New Features (version 0.3). M-way repeated measures ANOVA. MATLAB syntax = Python syntax. License agreement for spm1d.

INTERNAL PAGES

spm1d.org spm1d.org
1

References — spm1d 0.3 documentation

http://www.spm1d.org/References.html

New Features (version 0.3.2). New Features (version 0.3.1). New Features (version 0.3). SPM @ Scholarpedia. SPM @ Google Scholar. SPM @ PubMed. Pataky TC, Vanrenterghem J, Robinson MA (2016). The probability of false positives in zero-dimensional analyses of one-dimensional kinematic, force and EMG trajectories. Pataky TC (2016). RFT1D: Smooth one-dimensional random field upcrossing probabilities in Python,. Journal of Statistical Software. Computer Methods in Biomechanics and Biomedical Engineering.

2

Documentation (Python) — spm1d 0.3 documentation

http://www.spm1d.org/Documentation.html

New Features (version 0.3.2). New Features (version 0.3.1). New Features (version 0.3). Laquo; Version 0.3 (. Importing data ». Link to MATLAB documentation. Basic SPM Principles @ YouTube. Importing HDF5 data (deprecated). Notes on 1D datasets. Means and SD clouds. One- and two-sample tests. General linear model (GLM). Two-way ANOVA with repeated-measures on one factor. Three-way ANOVA with repeated-measures on two factors. Three-way ANOVA with repeated-measures on one factor. Paired Hotelling’s T.

3

Documentation (Matlab) — spm1d 0.3 documentation

http://www.spm1d.org/DocumentationMatlab.html

New Features (version 0.3.2). New Features (version 0.3.1). New Features (version 0.3). Laquo; spm1d.util. Unbalanced two- and three-way repeated-measures ANOVA results have not been verified. Example: more subjects in Group 1 than in Group 2. Please interpret results for these designs with caution, and recognize that they might not be valid. Link to Python documentation. There are a few key differences between the MATLAB and Python versions of spm1d. The main version of spm1d. The MATLAB version of spm1d.

4

Workshops — spm1d 0.3 documentation

http://www.spm1d.org/Workshops.html

New Features (version 0.3.2). New Features (version 0.3.1). New Features (version 0.3). Do you struggle to decide which variables to extract from your biomechanical data, particularly if you are recording motion data from different joints, 3D force data, or EMG data from various muscles? Do you think that there are better ways to explore your data, but these are probably too complex to use unless if you are an engineer? In this workshop series you will learn to understand the concepts underpinning SPM.

5

Downloads — spm1d 0.3 documentation

http://www.spm1d.org/Downloads.html

New Features (version 0.3.2). New Features (version 0.3.1). New Features (version 0.3). License agreement for spm1d. License agreement for spm1d. Laquo; New Features . Detailed inst. ». Source code repositories at GitHub. In a Terminal (Linux, Mac) or a Command Prompt (Windows):. Download source code from spm1d. 8216;s MATLAB github site. NOT the spm1d folder itself) AND the. Folder to the MATLAB path. There have been three major spm1d. Releases: 0.3, 0.2 and 0.1. Version 0.3 (Python and MATLAB).

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Introduction — spm1d 0.3.0 documentation

New Features (version 0.3). New Features (ve. ». Is a package for one-dimensional Statistical Parametric Mapping. It uses Random Field Theory. To make statistical inferences regarding registered (normalized) sets of 1D measurements. Please submit bug reports and questions to spm1d’s github site. New Features (version 0.3). M-way repeated measures ANOVA. MATLAB syntax = Python syntax. License agreement for spm1d.

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