\(\newcommand{L}[1]{\| #1 \|}\newcommand{VL}[1]{\L{ \vec{#1} }}\newcommand{R}[1]{\operatorname{Re}\,(#1)}\newcommand{I}[1]{\operatorname{Im}\, (#1)}\)

4D arrays, time series and diagnostics

4D arrays and time series

• 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: Working with four dimensional images, masks and functions;
• exercise: Four dimensions exercise.

Modules and functions

• intro Modules and scripts.

• exercise:

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

  then (in IPython):

  run spm_funcs.py
  

Introduction to the diagnostics exercise

See Introduction to the diagnostics exercise;

Reading and homework for next week

Reading is

• chapter 8 of Huettel et al 2014 [HSM14];
• 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: Outlier detection project.