.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/latent/relevant_data.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_latent_relevant_data.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_latent_relevant_data.py:


Relevant data for the hybrid choice model
=========================================

This file identifies the relevant data for the hybrid choice model, that are shared by
several specifications.

Michel Bierlaire, EPFL
Thu May 15 2025, 15:47:42

.. GENERATED FROM PYTHON SOURCE LINES 14-15

Latent variables

.. GENERATED FROM PYTHON SOURCE LINES 15-18

.. code-block:: Python

    car_centric_name = 'car_centric_attitude'
    urban_preference_name = 'urban_preference_attitude'


.. GENERATED FROM PYTHON SOURCE LINES 19-20

Indicators for the car centric attitude.

.. GENERATED FROM PYTHON SOURCE LINES 20-41

.. code-block:: Python


    car_likert_indicators = {
        'Envir01',
        'Envir02',
        'Envir06',
        'Mobil03',
        'Mobil04',
        'Mobil05',
        'Mobil06',
        'Mobil07',
        'Mobil08',
        'Mobil09',
        'Mobil10',
        'LifSty07',
        'LifSty08',
    }
    normalized_car = 'Envir01'

    # car_binary_indicators = {'moreThanOneCar', 'moreThanOneBike', 'haveGA'}
    car_binary_indicators = set()


.. GENERATED FROM PYTHON SOURCE LINES 42-43

indicators for the urban preference attitude

.. GENERATED FROM PYTHON SOURCE LINES 43-58

.. code-block:: Python

    urban_likert_indicators = {
        'ResidCh01',
        'ResidCh02',
        'ResidCh03',
        'ResidCh05',
        'ResidCh06',
        'ResidCh07',
        'LifSty07',
    }
    normalized_urban = 'ResidCh01'

    # urban_binary_indicators = {'individualHouse'}
    urban_binary_indicators = set()



.. GENERATED FROM PYTHON SOURCE LINES 59-60

Latent variable for the car centric attitude

.. GENERATED FROM PYTHON SOURCE LINES 60-72

.. code-block:: Python

    car_explanatory_variables: list[str] = [
        'highEducation',
        'top_manager',
        'employees',
        'age_30_less',
        'ScaledIncome',
        'car_oriented_parents',
    ]


    normalized = {'Envir01': -1, 'ResidCh01': 1}


.. GENERATED FROM PYTHON SOURCE LINES 73-74

Latent variable for the urban preference attitude

.. GENERATED FROM PYTHON SOURCE LINES 74-85

.. code-block:: Python

    urban_explanatory_variables: list[str] = [
        'childSuburb',
        'age_30_less',
        'haveChildren',
        'individualHouse',
        'owningHouse',
        'single',
        'ScaledIncome',
        'city_center_as_kid',
    ]


.. GENERATED FROM PYTHON SOURCE LINES 86-87

List of all explanatory variables

.. GENERATED FROM PYTHON SOURCE LINES 87-89

.. code-block:: Python

    all_explanatory_variables = car_explanatory_variables + urban_explanatory_variables


.. GENERATED FROM PYTHON SOURCE LINES 90-91

All indicators

.. GENERATED FROM PYTHON SOURCE LINES 91-95

.. code-block:: Python

    latent_variables_indicators = {
        car_centric_name: car_likert_indicators,
        urban_preference_name: urban_likert_indicators,
    }


.. _sphx_glr_download_auto_examples_latent_relevant_data.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: relevant_data.ipynb <relevant_data.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: relevant_data.py <relevant_data.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: relevant_data.zip <relevant_data.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_