On Wed, 24 Oct 2012, MS Al-Rawi wrote: > Cross-validation is fine even in this case, you'll just need to rearrange > your data in a way to leave-a-set-of-stimuli out, instead of > leave-one-run-out. Perhaps PyMVPA has some functionality to do this.
now it is getting interesting -- I think you got close to what I thought the question was about: to investigate the conceptual/true effect of e.g. some super-ordinate category (e.g. animate-vs-inanimate) you would like to cross-validate not across functional runs BUT across sub-ordinate stimuli categories (e.g. train on humans/reptiles/shoes/scissors to discriminate animacy and cross-validate into bugs/houses, then continue with another pair to take out). And that is what I thought for a moment the question was about ;) This all can be (was) done with PyMVPA although would require 3-4 lines of code instead of 1 to accomplish ATM. If anyone interested I could provide an example ;)... ? -- Yaroslav O. Halchenko Postdoctoral Fellow, Department of Psychological and Brain Sciences Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
