.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/latent/plot_b00factor_analysis.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_plot_b00factor_analysis.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_latent_plot_b00factor_analysis.py:


Factor analysis
===============

Preliminary analysis of the indicators using factor analysis

:author: Michel Bierlaire, EPFL
:date: Thu Apr 13 16:39:54 2023

.. GENERATED FROM PYTHON SOURCE LINES 11-16

.. code-block:: default


    import sys
    import pandas as pd
    import numpy as np








.. GENERATED FROM PYTHON SOURCE LINES 17-22

The following package can be installed using

`pip install factor_analyzer`

See https://github.com/EducationalTestingService/factor_analyzer

.. GENERATED FROM PYTHON SOURCE LINES 22-28

.. code-block:: default

    try:
        from factor_analyzer import FactorAnalyzer
    except ModuleNotFoundError:
        print('Use "pip install factor_analyzer" to install a requested package')
        sys.exit()








.. GENERATED FROM PYTHON SOURCE LINES 29-30

We first extract the columns containing the indicators

.. GENERATED FROM PYTHON SOURCE LINES 30-89

.. code-block:: default

    variables = [
        'Envir01',
        'Envir02',
        'Envir03',
        'Envir04',
        'Envir05',
        'Envir06',
        'Mobil01',
        'Mobil02',
        'Mobil03',
        'Mobil04',
        'Mobil05',
        'Mobil06',
        'Mobil07',
        'Mobil08',
        'Mobil09',
        'Mobil10',
        'Mobil11',
        'Mobil12',
        'Mobil13',
        'Mobil14',
        'Mobil15',
        'Mobil16',
        'Mobil17',
        'Mobil18',
        'Mobil19',
        'Mobil20',
        'Mobil21',
        'Mobil22',
        'Mobil23',
        'Mobil24',
        'Mobil25',
        'Mobil26',
        'Mobil27',
        'ResidCh01',
        'ResidCh02',
        'ResidCh03',
        'ResidCh04',
        'ResidCh05',
        'ResidCh06',
        'ResidCh07',
        'LifSty01',
        'LifSty02',
        'LifSty03',
        'LifSty04',
        'LifSty05',
        'LifSty06',
        'LifSty07',
        'LifSty08',
        'LifSty09',
        'LifSty10',
        'LifSty11',
        'LifSty12',
        'LifSty13',
        'LifSty14',
    ]

    indicators = pd.read_csv('optima.dat', sep='\t', usecols=variables)








.. GENERATED FROM PYTHON SOURCE LINES 90-91

Negative values are missing values.

.. GENERATED FROM PYTHON SOURCE LINES 91-94

.. code-block:: default

    indicators[indicators <= 0] = np.nan
    indicators = indicators.dropna(axis=0, how='any')








.. GENERATED FROM PYTHON SOURCE LINES 95-96

We perform the factor analysis

.. GENERATED FROM PYTHON SOURCE LINES 96-99

.. code-block:: default

    fa = FactorAnalyzer(rotation='varimax')
    fa.fit(indicators)






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>FactorAnalyzer(rotation=&#x27;varimax&#x27;, rotation_kwargs={})</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label sk-toggleable__label-arrow">FactorAnalyzer</label><div class="sk-toggleable__content"><pre>FactorAnalyzer(rotation=&#x27;varimax&#x27;, rotation_kwargs={})</pre></div></div></div></div></div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 100-101

We obtain the factor loadings and label them

.. GENERATED FROM PYTHON SOURCE LINES 101-105

.. code-block:: default

    labeled_results = pd.DataFrame(fa.loadings_)
    labeled_results.index = variables
    labeled_results






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead th {
            text-align: right;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th>0</th>
          <th>1</th>
          <th>2</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>Envir01</th>
          <td>-0.564729</td>
          <td>-0.002045</td>
          <td>0.111001</td>
        </tr>
        <tr>
          <th>Envir02</th>
          <td>-0.407355</td>
          <td>0.047089</td>
          <td>0.105001</td>
        </tr>
        <tr>
          <th>Envir03</th>
          <td>0.413744</td>
          <td>0.135357</td>
          <td>0.089509</td>
        </tr>
        <tr>
          <th>Envir04</th>
          <td>0.339893</td>
          <td>0.164578</td>
          <td>0.027584</td>
        </tr>
        <tr>
          <th>Envir05</th>
          <td>-0.293116</td>
          <td>0.082449</td>
          <td>0.117659</td>
        </tr>
        <tr>
          <th>Envir06</th>
          <td>-0.397525</td>
          <td>-0.000947</td>
          <td>0.142948</td>
        </tr>
        <tr>
          <th>Mobil01</th>
          <td>0.070801</td>
          <td>0.094246</td>
          <td>0.348101</td>
        </tr>
        <tr>
          <th>Mobil02</th>
          <td>0.161354</td>
          <td>0.221123</td>
          <td>0.350501</td>
        </tr>
        <tr>
          <th>Mobil03</th>
          <td>-0.034115</td>
          <td>0.120752</td>
          <td>0.377315</td>
        </tr>
        <tr>
          <th>Mobil04</th>
          <td>-0.158243</td>
          <td>-0.018616</td>
          <td>0.160603</td>
        </tr>
        <tr>
          <th>Mobil05</th>
          <td>-0.174380</td>
          <td>0.146278</td>
          <td>0.352953</td>
        </tr>
        <tr>
          <th>Mobil06</th>
          <td>0.274974</td>
          <td>0.163948</td>
          <td>0.116831</td>
        </tr>
        <tr>
          <th>Mobil07</th>
          <td>0.230149</td>
          <td>-0.018872</td>
          <td>0.140380</td>
        </tr>
        <tr>
          <th>Mobil08</th>
          <td>0.380445</td>
          <td>0.242195</td>
          <td>0.165503</td>
        </tr>
        <tr>
          <th>Mobil09</th>
          <td>-0.286631</td>
          <td>-0.006629</td>
          <td>0.233548</td>
        </tr>
        <tr>
          <th>Mobil10</th>
          <td>0.341252</td>
          <td>0.126686</td>
          <td>0.191877</td>
        </tr>
        <tr>
          <th>Mobil11</th>
          <td>0.482423</td>
          <td>0.061773</td>
          <td>0.101396</td>
        </tr>
        <tr>
          <th>Mobil12</th>
          <td>0.291986</td>
          <td>0.345614</td>
          <td>-0.043070</td>
        </tr>
        <tr>
          <th>Mobil13</th>
          <td>0.293047</td>
          <td>-0.005639</td>
          <td>0.040887</td>
        </tr>
        <tr>
          <th>Mobil14</th>
          <td>0.476652</td>
          <td>0.171167</td>
          <td>0.070976</td>
        </tr>
        <tr>
          <th>Mobil15</th>
          <td>-0.165495</td>
          <td>-0.042412</td>
          <td>0.151499</td>
        </tr>
        <tr>
          <th>Mobil16</th>
          <td>0.459362</td>
          <td>0.066581</td>
          <td>0.077292</td>
        </tr>
        <tr>
          <th>Mobil17</th>
          <td>0.431262</td>
          <td>0.098147</td>
          <td>0.208418</td>
        </tr>
        <tr>
          <th>Mobil18</th>
          <td>0.333607</td>
          <td>0.214557</td>
          <td>0.060210</td>
        </tr>
        <tr>
          <th>Mobil19</th>
          <td>-0.235192</td>
          <td>-0.035251</td>
          <td>0.368719</td>
        </tr>
        <tr>
          <th>Mobil20</th>
          <td>0.025723</td>
          <td>-0.060406</td>
          <td>0.412330</td>
        </tr>
        <tr>
          <th>Mobil21</th>
          <td>0.147848</td>
          <td>0.092530</td>
          <td>0.295888</td>
        </tr>
        <tr>
          <th>Mobil22</th>
          <td>0.178539</td>
          <td>0.182377</td>
          <td>0.078155</td>
        </tr>
        <tr>
          <th>Mobil23</th>
          <td>-0.070000</td>
          <td>-0.026870</td>
          <td>0.243105</td>
        </tr>
        <tr>
          <th>Mobil24</th>
          <td>-0.310479</td>
          <td>0.065048</td>
          <td>0.299017</td>
        </tr>
        <tr>
          <th>Mobil25</th>
          <td>0.193832</td>
          <td>0.355736</td>
          <td>0.188833</td>
        </tr>
        <tr>
          <th>Mobil26</th>
          <td>0.045875</td>
          <td>0.082315</td>
          <td>0.417643</td>
        </tr>
        <tr>
          <th>Mobil27</th>
          <td>0.083807</td>
          <td>0.096861</td>
          <td>0.368456</td>
        </tr>
        <tr>
          <th>ResidCh01</th>
          <td>-0.021483</td>
          <td>0.565421</td>
          <td>-0.028667</td>
        </tr>
        <tr>
          <th>ResidCh02</th>
          <td>-0.345073</td>
          <td>0.325007</td>
          <td>0.170992</td>
        </tr>
        <tr>
          <th>ResidCh03</th>
          <td>0.151949</td>
          <td>0.141772</td>
          <td>0.103544</td>
        </tr>
        <tr>
          <th>ResidCh04</th>
          <td>0.026371</td>
          <td>0.413732</td>
          <td>0.115635</td>
        </tr>
        <tr>
          <th>ResidCh05</th>
          <td>-0.088138</td>
          <td>0.606071</td>
          <td>-0.058620</td>
        </tr>
        <tr>
          <th>ResidCh06</th>
          <td>-0.024728</td>
          <td>0.441251</td>
          <td>-0.100628</td>
        </tr>
        <tr>
          <th>ResidCh07</th>
          <td>0.117831</td>
          <td>-0.375275</td>
          <td>0.263202</td>
        </tr>
        <tr>
          <th>LifSty01</th>
          <td>-0.111344</td>
          <td>0.116332</td>
          <td>0.148828</td>
        </tr>
        <tr>
          <th>LifSty02</th>
          <td>0.182615</td>
          <td>0.224647</td>
          <td>0.108381</td>
        </tr>
        <tr>
          <th>LifSty03</th>
          <td>-0.015983</td>
          <td>0.033632</td>
          <td>0.223094</td>
        </tr>
        <tr>
          <th>LifSty04</th>
          <td>0.061664</td>
          <td>0.064185</td>
          <td>0.161211</td>
        </tr>
        <tr>
          <th>LifSty05</th>
          <td>0.017626</td>
          <td>0.193170</td>
          <td>0.276527</td>
        </tr>
        <tr>
          <th>LifSty06</th>
          <td>0.046335</td>
          <td>0.310471</td>
          <td>0.258672</td>
        </tr>
        <tr>
          <th>LifSty07</th>
          <td>0.157569</td>
          <td>0.447161</td>
          <td>0.108234</td>
        </tr>
        <tr>
          <th>LifSty08</th>
          <td>-0.066643</td>
          <td>-0.151222</td>
          <td>0.250315</td>
        </tr>
        <tr>
          <th>LifSty09</th>
          <td>0.105715</td>
          <td>0.302478</td>
          <td>0.283061</td>
        </tr>
        <tr>
          <th>LifSty10</th>
          <td>0.122540</td>
          <td>0.403303</td>
          <td>0.160987</td>
        </tr>
        <tr>
          <th>LifSty11</th>
          <td>0.084352</td>
          <td>0.244044</td>
          <td>0.185830</td>
        </tr>
        <tr>
          <th>LifSty12</th>
          <td>-0.231626</td>
          <td>0.178191</td>
          <td>0.071661</td>
        </tr>
        <tr>
          <th>LifSty13</th>
          <td>-0.188736</td>
          <td>0.014129</td>
          <td>0.063625</td>
        </tr>
        <tr>
          <th>LifSty14</th>
          <td>0.035538</td>
          <td>-0.002001</td>
          <td>0.181145</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 106-108

When we print the results, we keep only loadings that are 0.4 or
higher, in absolute value.

.. GENERATED FROM PYTHON SOURCE LINES 108-112

.. code-block:: default


    labeled_results = labeled_results.astype('object')
    labeled_results[(labeled_results <= 0.4) & (labeled_results >= -0.4)] = ''








.. GENERATED FROM PYTHON SOURCE LINES 113-114

Results.

.. GENERATED FROM PYTHON SOURCE LINES 114-115

.. code-block:: default

    labeled_results





.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead th {
            text-align: right;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th>0</th>
          <th>1</th>
          <th>2</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>Envir01</th>
          <td>-0.564729</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Envir02</th>
          <td>-0.407355</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Envir03</th>
          <td>0.413744</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Envir04</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Envir05</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Envir06</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil01</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil02</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil03</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil04</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil05</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil06</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil07</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil08</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil09</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil10</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil11</th>
          <td>0.482423</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil12</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil13</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil14</th>
          <td>0.476652</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil15</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil16</th>
          <td>0.459362</td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil17</th>
          <td>0.431262</td>
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        <tr>
          <th>Mobil18</th>
          <td></td>
          <td></td>
          <td></td>
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        <tr>
          <th>Mobil19</th>
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          <td></td>
          <td></td>
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        <tr>
          <th>Mobil20</th>
          <td></td>
          <td></td>
          <td>0.41233</td>
        </tr>
        <tr>
          <th>Mobil21</th>
          <td></td>
          <td></td>
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        </tr>
        <tr>
          <th>Mobil22</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>Mobil23</th>
          <td></td>
          <td></td>
          <td></td>
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        <tr>
          <th>Mobil24</th>
          <td></td>
          <td></td>
          <td></td>
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        <tr>
          <th>Mobil25</th>
          <td></td>
          <td></td>
          <td></td>
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        <tr>
          <th>Mobil26</th>
          <td></td>
          <td></td>
          <td>0.417643</td>
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        <tr>
          <th>Mobil27</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh01</th>
          <td></td>
          <td>0.565421</td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh02</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh03</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh04</th>
          <td></td>
          <td>0.413732</td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh05</th>
          <td></td>
          <td>0.606071</td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh06</th>
          <td></td>
          <td>0.441251</td>
          <td></td>
        </tr>
        <tr>
          <th>ResidCh07</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty01</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty02</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty03</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty04</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty05</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty06</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty07</th>
          <td></td>
          <td>0.447161</td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty08</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty09</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty10</th>
          <td></td>
          <td>0.403303</td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty11</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty12</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty13</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
        <tr>
          <th>LifSty14</th>
          <td></td>
          <td></td>
          <td></td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.727 seconds)


.. _sphx_glr_download_auto_examples_latent_plot_b00factor_analysis.py:

.. only:: html

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




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

      :download:`Download Python source code: plot_b00factor_analysis.py <plot_b00factor_analysis.py>`

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

      :download:`Download Jupyter notebook: plot_b00factor_analysis.ipynb <plot_b00factor_analysis.ipynb>`


.. only:: html

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

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