repeated measures , within subject conditions, groups

[sjoe...@gmail.com]

Hi All Again,

Suppose that I have several groups of subjects, with repeated measures, and a task in stimuli can be classified as either 'easy' or 'hard'.

Doing:

depends_on = {'v': ['group', 'visit']} # group is categorical, visit is ordinal

appears to create separate nodes group for each member of the cross product group x visit, though I'm not sure whether this is really capturing the hierarchical structure of the data.

But in any case, if I wanted v to also vary by within-subject condition, e.g.:

depends_on = {'v': ['group', 'visit']} # for between subject differences
patsy_string = 'v ~ C(condition, Treatment("easy"))'

my HDDMRegressor model gives me a PatsyError "specified level 'easy' not found", which does not occur when I remove the depends_on clause on v. So maybe what I really want to do is an HDDMRegressor model where:

patsy_string = 'v ~ 0 + C(group, Treatment("control")) * visit * C(condition, Treatment("easy")'

Sorry if this is confused.

Thanks!

[Thomas Wiecki]

You can't mix depends_on and patsy with the same variable. You can build within and between-subject effects into the patsy model spec though as you started doing.

HTH,

Thomas

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