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# UnfoldMakie | ||
# ![UnfoldMakie](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/57703446/26b770b3-afa0-4652-b654-82d2f737f42f) | ||
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://unfoldtoolbox.github.io/UnfoldMakie.jl/dev) | ||
[![Build Status](https://github.com/unfoldtoolbox/UnfoldMakie.jl/workflows/CI/badge.svg)](https://github.com/unfoldtoolbox/UnfoldMakie.jl/actions) | ||
[![Coverage](https://codecov.io/gh/behinger/UnfoldMakie.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/behinger/UnfoldMakie.jl) | ||
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6531996.svg)](https://doi.org/10.5281/zenodo.6531996) | ||
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|rERP|EEG visualisation|EEG Simulations|BIDS pipeline|Decode EEG data|Statistical testing| | ||
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| <a href="https://github.com/unfoldtoolbox/Unfold.jl/tree/main"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623787-757575d0-aeb9-4d94-a5f8-832f13dcd2dd.png"></a> | <a href="https://github.com/unfoldtoolbox/UnfoldMakie.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623793-37af35a0-c99c-4374-827b-40fc37de7c2b.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldSim.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623795-328a4ccd-8860-4b13-9fb6-64d3df9e2091.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldBIDS.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277622460-2956ca20-9c48-4066-9e50-c5d25c50f0d1.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldDecode.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277622487-802002c0-a1f2-4236-9123-562684d39dcf.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldStats.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623799-4c8f2b5a-ea84-4ee3-82f9-01ef05b4f4c6.png"></a>| | ||
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A toolbox for visualizations of EEG/ERP data and Unfold.jl models. | ||
Building on the [Unfold](https://github.com/unfoldtoolbox/unfold.jl/) and [Makie](https://makie.juliaplots.org/stable/), it grants users high performance, and highly customizable plots. | ||
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We currently support: | ||
<img src="https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/af2801e5-cd64-4932-b84d-9abc1d8470ee" width="300" align="right"> | ||
- ![icon_erpplot_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/22c8472d-df78-46d7-afe8-e1e4e7b04313) | ||
ERP plots | ||
- ![icon_butterfly_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/30b86665-3705-4258-bffa-97abcd308235) | ||
Butterfly plots | ||
- ![icon_topoplot_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/ea91f14f-30df-4316-997b-56bc411c9276) | ||
Topography plots | ||
- ![icon_toposeries_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/eceab5d6-88c7-41ae-b0d8-5ca652e83b40) | ||
Topography time series | ||
- ![icon_erpgrid_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/83b42a21-439a-49fd-80bc-cd82872695e9) | ||
ERP grid | ||
- ![icon_erpimage_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/b45b0547-7333-4d28-9ac8-33a989b7c132) | ||
ERP images | ||
- ![icon_channelimage_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/7ea16a7a-879a-4dcc-aaab-bc97211910ba) | ||
Channel images | ||
- ![icon_parallel_20px](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/dab097c3-bcd6-4405-a44b-71cbe3e5fac9) | ||
Parallel coordinates | ||
- Designmatrices | ||
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UnfoldMakie allows many visualizations for ERP and "Unfolded"-models. | ||
Building on the [Unfold](https://github.com/unfoldtoolbox/unfold.jl/) and [Makie](https://makie.juliaplots.org/stable/), it grants users highly customizable plots. | ||
## Install | ||
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The toolbox requires a Makie-Backend to be loaded, e.g. `using CairoMakie` | ||
### Installing Julia | ||
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Some plotting functions require data-frames, with fields like `:estimate` or `:time`. | ||
<details> | ||
<summary>Click to expand</summary> | ||
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The supportet visualizations are: | ||
The recommended way to install julia is [juliaup](https://github.com/JuliaLang/juliaup). | ||
It allows you to, e.g., easily update Julia at a later point, but also test out alpha/beta versions etc. | ||
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- Designmatrices | ||
- Line Plots | ||
- Butterfly Plots | ||
- ERP Images with option for sorting | ||
- Topo Plots | ||
- Topoplot series | ||
- Parallel Coordinates Plot | ||
TL:DR; If you dont want to read the explicit instructions, just copy the following command | ||
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#### Windows | ||
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AppStore -> JuliaUp, or `winget install julia -s msstore` in CMD | ||
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#### Mac & Linux | ||
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`curl -fsSL https://install.julialang.org | sh` in any shell | ||
</details> | ||
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### Installing Unfold | ||
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![grafik](https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/af2801e5-cd64-4932-b84d-9abc1d8470ee) | ||
```julia | ||
using Pkg | ||
Pkg.add("UnfoldMakie") | ||
``` | ||
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## Structure | ||
### Code Notes | ||
## Quickstart | ||
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The code files can be found in the `src` folder. | ||
```julia | ||
using UnfoldMakie | ||
using CairoMakie | ||
data, evts = UnfoldSim.predef_eeg(; noiselevel = 12, return_epoched = true) | ||
times = range(0, step = 1 / 100, length = size(data, 2)) | ||
m= fit(UnfoldModel,@formula(0~1+condition),evts,data,times) | ||
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### Documentation Notes | ||
plot_erp(coeftable(m)) | ||
``` | ||
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The documentation can be found in the `doc` folder. We use `Documenter.jl` and plan to use `Literate.jl` for future usage. | ||
In the `src` folder contained within it exists as "raw" `.md` files and in the `build` folder contained within it exists as `.html` after running the `make.jl` file. | ||
These are specifically the "index" file with more files in sub folders. | ||
## Contributions | ||
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Contributions are very welcome. These could be typos, bugreports, feature-requests, speed-optimization, new solvers, better code, better documentation. | ||
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### How-to Contribute | ||
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You are very welcome to raise issues and start pull requests! | ||
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### Adding Documentation | ||
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1. We recommend to write a Literate.jl document and place it in `docs/literate/FOLDER/FILENAME.jl` with `FOLDER` being `HowTo`, `Explanation`, `Tutorial` or `Reference` ([recommended reading on the 4 categories](https://documentation.divio.com/)). | ||
2. Literate.jl converts the `.jl` file to a `.md` automatically and places it in `docs/src/generated/FOLDER/FILENAME.md`. | ||
3. Edit [make.jl](https://github.com/unfoldtoolbox/Unfold.jl/blob/main/docs/make.jl) with a reference to `docs/src/generated/FOLDER/FILENAME.md`. | ||
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## Citation | ||
If you make use of theses visualizations, please cite [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6531996.svg)](https://doi.org/10.5281/zenodo.6531996) | ||
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## Authors | ||
If you make use of theses visualizations, please cite: | ||
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6531996.svg)](https://doi.org/10.5281/zenodo.6531996) | ||
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It was authored by `Benedikt Ehinger` and has been worked upon by students and doctoral researchers within the context of a university project (`Fachpraktikum: Methods in Computational EEG`) at the University of Stuttgart. | ||
## Contributors (alphabetically) | ||
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The student names are: | ||
- Baumgartner, Daniel | ||
- Döring, Sören | ||
- Gärtner, Niklas | ||
- **Daniel Baumgartner** | ||
- **Benedikt Ehinger** | ||
- **Sören Döring** | ||
- **Niklas Gärtner** | ||
- **Vladimir Mikheev** | ||
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Doctoral reserchers: | ||
- Vladimir Mikheev | ||
## Acknowledgements | ||
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## Funding | ||
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project ID 251654672 – TRR 161 (project D05) | ||
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Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016 |