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The task can be installed in a new environment using the `environment.yml` file that you can find at the root of the directory. Using the Anaconda prompt, you can create a new environment with:
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You can also download the most recent version by downloading the repository as a .zip file.
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`conda env create -f environment.yml`
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After extracting the content of the file, the package can be installed via the command line by running `pip install .`. Note that this command should be executed when your terminal run inside the extracted folder. You can navigate through your local folder using the command `cd [path to your folder]`.
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This will create a new `cardioception` environment that you can later activate using:
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<brclear="left"/>
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`conda activate cardioception`
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```{note} If you are using the shortcut method described bellow, you will have to activate the *cardioception* environment instead of the *base* one.
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```
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## Dependencies
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@@ -55,12 +58,11 @@ Cardioception has been tested with Python 3.7. We recommend to use the last inst
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Make sure that you have the following packages installed and up to date before running cardioception:
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*[psychopy](https://www.psychopy.org/) can be installed with `pip install psychopy`.
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*[systole](https://systole-docs.github.io/) can be installed with `pip install systole`.
The version provided here are the ones used when testing and runing cardioception locally, and are often the last ones. For several packages however, older version might also be compatibles.
@@ -174,9 +177,8 @@ More advanced subject and group-level Bayesian modeling approaches are described
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| Notebook | Colab | nbViewer |
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| --- | ---| --- |
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| Fitting the psychometric function (single subject) | [](https://colab.research.google.com/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/1-psychophysics_subject_level.ipynb?flush_cache=true) | [](https://nbviewer.jupyter.org/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/1-psychophysics_subject_level.ipynb?flush_cache=true)
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| Fitting the psychometric function (group level) | [](https://colab.research.google.com/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/2-psychophysics_group_level.ipynb?flush_cache=true) | [](https://nbviewer.jupyter.org/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/2-psychophysics_group_level.ipynb?flush_cache=true)
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| Fitting the psychometric function (repeated measures) | [](https://colab.research.google.com/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/3-repeated_measures.ipynb?flush_cache=true) | [](https://nbviewer.jupyter.org/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/3-repeated_measures.ipynb?flush_cache=true)
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| Fitting the psychometric function (single subject) | [](https://colab.research.google.com/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/psychophysics/1-psychophysics_subject_level.ipynb) | [](https://nbviewer.jupyter.org/github/embodied-computation-group/embodied-computation-group/Cardioception/blob/master/docs/source/examples/psychophysics/1-psychophysics_subject_level.ipynb)
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| Fitting the psychometric function (group level) | [](https://colab.research.google.com/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/psychophysics/2-psychophysics_group_level.ipynb) | [](https://nbviewer.jupyter.org/github/embodied-computation-group/Cardioception/blob/master/docs/source/examples/psychophysics/2-psychophysics_group_level.ipynb)
The task can be installed in a new environment using the `environment.yml` file that you can find at the root of the directory. Using the Anaconda prompt, you can create a new environment with:
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You can also download the most recent version by downloading the repository as a .zip file.
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`conda env create -f environment.yml`
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After extracting the content of the file, the package can be installed via the command line by running `pip install .`. Note that this command should be executed when your terminal run inside the extracted folder. You can navigate through your local folder using the command `cd [path to your folder]`.
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This will create a new `cardioception` environment that you can later activate using:
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<brclear="left"/>
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`conda activate cardioception`
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```{note} If you are using the shortcut method described bellow, you will have to activate the *cardioception* environment instead of the *base* one.
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```
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## Dependencies
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Make sure that you have the following packages installed and up to date before running cardioception:
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*[psychopy](https://www.psychopy.org/) can be installed with `pip install psychopy`.
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-
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*[systole](https://systole-docs.github.io/) can be installed with `pip install systole`.
The version provided here are the ones used when testing and runing cardioception locally, and are often the last ones. For several packages however, older version might also be compatibles.
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