Examples
========

This section illustrates how to use the module to evaluate the Morris screening effects.

The illustration is done with the `Morris` function example, ie f: :math:`f:\Rset^{20} \rightarrow \Rset`. Each input variable is uniform with bounds 0 and 1.


Example 1: Morris use-case and p-level input grid
-------------------------------------------------

To define the trajectories, we suppose that the box :math:`[0,1]^{20}` is splitted into a p-level grid (p=5).

We set the number of trajectories input variables are randomly to 10.

.. literalinclude:: example.py
    :language: python

We illustrate here after sensitivity graph issued from such analysis:

.. image:: example.png
   :height: 350 px
   :width: 600 px
   :align: center

Example 2: Morris use-case and LHS initial design
-------------------------------------------------

To define the trajectories, we first get an LHS design in the box :math:`[0,1]^{20}` of :math:`size=50`

We set the number of trajectories input variables are randomly to 10.

.. literalinclude:: examplelhs.py
    :language: python

We illustrate here after sensitivity graph issued from such analysis:

.. image:: examplelhs.png
   :height: 350 px
   :width: 600 px
   :align: center