hddm-devs / hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
http://ski.clps.brown.edu/hddm_docs/
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Tutorial documentation #3

Closed michaeldhealy closed 13 years ago

michaeldhealy commented 13 years ago

hddm/docs/tutorial_config_difficulty.rst

The tutorial describes the data in simple_difficulty.csv as:

The rows following the header contain the reaction time of the trial, followed by a comma, followed by the response made (e.g. 1=correct, 0=error or 1=left, 0=right), followed by the difficulty of the trial. Note, that ‘difficulty’ is just an example, you can call them whatever you like.

The data in simple_difficulty.csv looks like: response,rt,difficulty 1.0,1.06,hard 1.0,1.052,hard

Looks like the tutorial should read: The rows following the header contain the response made (e.g. 1=correct, 0=error or 1=left, 0=right), followed by the reaction time of the trial, followed by the difficulty of the trial. Note, that ‘difficulty’ is just an example, you can call them whatever you like.