Updated 06 Aug 2020
Using spm1d package (v.0.4.3), compute anova and post-hoc tests from anova1 to anova3rm, with a non-parametric approach (permutation tests)
The type of anova (if required) and post-hoc are choosen regarding the independant or repeated measure effect given in parameters.
The function automatically adapts to 1D and 2D data
Examples are in ...\fctSPM\Examples
1D examples are torque ratios
2D examples are maps obtained with continuous wavelet transforms
please cite for spm1d : Pataky TC (2010). Generalized n-dimensional biomechanical field analysis using statistical parametric mapping. Journal of Biomechanics 43, 1976-1982.
please cite for permutation tests : Nichols TE, Holmes AP (2002). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping 15(1), 1–25.
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.
Post-hoc tests with Bonferonni correction are only approximate
Effect sizes and confidence intervals are not validated
Trama Robin (2020). fctSPM (https://github.com/tramarobin/fctSPM/releases/tag/v1.1.0), GitHub. Retrieved .
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/v1.1.0
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/1.0.5
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/1.0.4
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/1.0.3
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/1.0.2
See release notes for this release on GitHub: https://github.com/tramarobin/fctSPM/releases/tag/1.0.1