[ENH] implement one-way ANOVA at group level to compare groups

[Remi-Gau]

• closes #1229

  ---

• [x] implement F contrasts

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 90.78212% with 33 lines in your changes missing coverage. Please review.

Project coverage is 81.54%. Comparing base (f53979a) to head (c844907). Report is 117 commits behind head on main.

Files	Patch %	Lines
src/bids_model/BidsModel.m	82.60%	12 Missing :warning:
src/batches/stats/setBatchFactorialDesign.m	93.44%	8 Missing :warning:
src/bids/getAvailableGroups.m	81.81%	2 Missing :warning:
...rc/bids_model/getContrastsListForFactorialDesign.m	81.81%	2 Missing :warning:
src/stats/subject_level/specifyContrasts.m	84.61%	2 Missing :warning:
src/stats/utils/checkSpmMat.m	81.81%	2 Missing :warning:
src/workflows/stats/bidsResults.m	90.90%	2 Missing :warning:
src/bids_model/getInclusiveMask.m	75.00%	1 Missing :warning:
src/stats/utils/getContrastNb.m	0.00%	1 Missing :warning:
src/workflows/stats/bidsFFX.m	85.71%	1 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #1296 +/- ## ========================================== + Coverage 79.57% 81.54% +1.96% ========================================== Files 285 282 -3 Lines 7742 7667 -75 Branches 40 0 -40 ========================================== + Hits 6161 6252 +91 + Misses 1565 1415 -150 + Partials 16 0 -16 ``` | [Flag](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | Coverage Δ | | |---|---|---| | [cli](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `?` | | | [macos-13_matlab-R2023b_fast](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `64.17% <69.27%> (?)` | | | [macos-13_matlab-R2023b_slow](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `58.38% <74.02%> (?)` | | | [macos-latest_matlab-R2023a_fast](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `?` | | | [macos-latest_matlab-R2023a_slow](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `?` | | | [octave](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `61.27% <60.05%> (-14.45%)` | :arrow_down: | | [ubuntu-latest_matlab-R2023a_fast](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `?` | | | [ubuntu-latest_matlab-R2023a_slow](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `?` | | | [ubuntu-latest_matlab-R2023b_fast](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `64.17% <69.27%> (?)` | | | [ubuntu-latest_matlab-R2023b_slow](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `58.36% <74.02%> (?)` | | | [windows-latest_matlab-R2023b_fast](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `64.17% <69.27%> (?)` | | | [windows-latest_matlab-R2023b_slow](https://app.codecov.io/gh/cpp-lln-lab/bidspm/pull/1296/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab) | `58.38% <74.02%> (?)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cpp-lln-lab#carryforward-flags-in-the-pull-request-comment) to find out more.

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