fctSPM

版本 2.2.0.0 (15.8 MB) 作者: Trama Robin
Using spm1d package (v.0.4.3), compute anova and post-hoc tests from anova1 to anova3rm, with a non-parametric approach (permutation tests)
183.0 次下载
更新时间 2023/7/4

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 visit http://spm1d.org/index.html for information
spm1d package for matlab : https://github.com/0todd0000/spm1dmatlab

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.

WARNINGS:

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

引用格式

Trama Robin (2024). fctSPM (https://github.com/tramarobin/fctSnPM/releases/tag/v2.2), GitHub. 检索时间: .

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Examples

src

src/plot

src/spm1d_Pataky/+spm1d

src/spm1d_Pataky/+spm1d/+data

src/spm1d_Pataky/+spm1d/+data/+mv0d/+cca

src/spm1d_Pataky/+spm1d/+data/+mv0d/+hotellings1

src/spm1d_Pataky/+spm1d/+data/+mv0d/+hotellings2

src/spm1d_Pataky/+spm1d/+data/+mv0d/+hotellings_paired

src/spm1d_Pataky/+spm1d/+data/+mv0d/+manova1

src/spm1d_Pataky/+spm1d/+data/+mv1d/+cca

src/spm1d_Pataky/+spm1d/+data/+mv1d/+hotellings2

src/spm1d_Pataky/+spm1d/+data/+mv1d/+hotellings_paired

src/spm1d_Pataky/+spm1d/+data/+mv1d/+manova1

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova1

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova1rm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova2

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova2nested

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova2onerm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova2rm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova3

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova3nested

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova3onerm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova3rm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+anova3tworm

src/spm1d_Pataky/+spm1d/+data/+uv0d/+ci1

src/spm1d_Pataky/+spm1d/+data/+uv0d/+ci2

src/spm1d_Pataky/+spm1d/+data/+uv0d/+cipaired

src/spm1d_Pataky/+spm1d/+data/+uv0d/+normality

src/spm1d_Pataky/+spm1d/+data/+uv0d/+regress

src/spm1d_Pataky/+spm1d/+data/+uv0d/+t1

src/spm1d_Pataky/+spm1d/+data/+uv0d/+t2

src/spm1d_Pataky/+spm1d/+data/+uv0d/+tpaired

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova1

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova1rm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova2

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova2nested

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova2onerm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova2rm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova3

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova3nested

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova3onerm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova3rm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+anova3tworm

src/spm1d_Pataky/+spm1d/+data/+uv1d/+regress

src/spm1d_Pataky/+spm1d/+data/+uv1d/+t1

src/spm1d_Pataky/+spm1d/+data/+uv1d/+t2

src/spm1d_Pataky/+spm1d/+data/+uv1d/+tpaired

src/spm1d_Pataky/+spm1d/+geom

src/spm1d_Pataky/+spm1d/+plot

src/spm1d_Pataky/+spm1d/+rft1d

src/spm1d_Pataky/+spm1d/+stats

src/spm1d_Pataky/+spm1d/+stats/+anova

src/spm1d_Pataky/+spm1d/+stats/+anova/+designs

src/spm1d_Pataky/+spm1d/+stats/+anova/+factors

src/spm1d_Pataky/+spm1d/+stats/+ci

src/spm1d_Pataky/+spm1d/+stats/+nonparam

src/spm1d_Pataky/+spm1d/+stats/+nonparam/+calculators

src/spm1d_Pataky/+spm1d/+stats/+nonparam/+ci

src/spm1d_Pataky/+spm1d/+stats/+nonparam/+metrics

src/spm1d_Pataky/+spm1d/+stats/+nonparam/+permuters

src/spm1d_Pataky/+spm1d/+stats/+nonparam/+snpm

src/spm1d_Pataky/+spm1d/+stats/+normality

src/spm1d_Pataky/+spm1d/+stats/+spm

src/spm1d_Pataky/+spm1d/+util

src/spm1d_Pataky/examples/nonparam/0d

src/spm1d_Pataky/examples/nonparam/1d

src/spm1d_Pataky/examples/normality/0d

src/spm1d_Pataky/examples/normality/1d

src/spm1d_Pataky/examples/stats0d

src/spm1d_Pataky/examples/stats1d

src/spm1d_Pataky/examples/stats1d_roi

src/spm1d_Pataky/examples/stats2d

src/spm1d_Pataky/spm8

src/utility

src/utility/cbrewer/cbrewer

版本 已发布 发行说明
2.2.0.0

See release notes for this release on GitHub: https://github.com/tramarobin/fctSnPM/releases/tag/v2.2

2.1

See release notes for this release on GitHub: https://github.com/tramarobin/fctSnPM/releases/tag/v2.1

2.0

See release notes for this release on GitHub: https://github.com/tramarobin/fctSnPM/releases/tag/v2.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库