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4D arrays, time series and diagnostics
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4D arrays and time series
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* Loading images with nibabel_;
* 4D images as collections of 3D images;
* getting volumes from 4D images;
* getting time-series from 4D images by slicing;

* intro page: :doc:`intro_to_4d`;
* exercise: :doc:`four_dimensions_exercise`.

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Modules and functions
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* intro :doc:`on_modules`.
* exercise::

    git clone https://github.com/psych-214-fall-2016/classwork
    cd classwork/day_02
    ipython

  then (in IPython)::

    run spm_funcs.py

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Introduction to the diagnostics exercise
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See :ref:`diagnostics-preparation`;

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Reading and homework for next week
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Reading is

* chapter 8 of Huettel et al 2014 :cite:`huettel2014functional`;
* `curious remotes`_ |--| the Curious Git section on using git to work with
  other repositories and other people.

Homework is to continue the diagnostics exercise.  See:
:ref:`outlier-detection-project`.