Thank you for the quick reply, I clearly overlooked that! Cheers, Charlotte
On 27 May 2015 at 13:00, <[email protected]> wrote: > Send Pkg-ExpPsy-PyMVPA mailing list submissions to > [email protected] > > To subscribe or unsubscribe via the World Wide Web, visit > > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa > > or, via email, send a message with subject or body 'help' to > [email protected] > > You can reach the person managing the list at > [email protected] > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Pkg-ExpPsy-PyMVPA digest..." > > > Today's Topics: > > 1. Re: RSA - PDistTargetSimilarity (Hang Yee Chan) > 2. Re: RSA - PDistTargetSimilarity (Yaroslav Halchenko) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Tue, 26 May 2015 14:11:21 +0200 > From: Hang Yee Chan <[email protected]> > To: <[email protected]> > Subject: Re: [pymvpa] RSA - PDistTargetSimilarity > Message-ID: > <CAJkZt+0ou_xEw5jnuDC1haaOQyRb-tSqKcWhi28j9het= > [email protected]> > Content-Type: text/plain; charset="utf-8" > > Hi Charlotte > > You can use the scipy.spatial.distance.squareform function to convert > to/from square form (6x6) and condensed form (1x15). > > Cheers > Hang-yee > PhD candidate > Erasmus University > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/attachments/20150526/0d22e160/attachment-0001.html > > > > ------------------------------ > > Message: 2 > Date: Tue, 26 May 2015 08:37:07 -0400 > From: Yaroslav Halchenko <[email protected]> > To: Development and support of PyMVPA > <[email protected]> > Subject: Re: [pymvpa] RSA - PDistTargetSimilarity > Message-ID: <[email protected]> > Content-Type: text/plain; charset=utf-8 > > > On Tue, 26 May 2015, Charlotte Murphy wrote: > > I realise this is because I have a vector vs. 6x6 matrix. I assume I > need > > to create a vector that reflects the off diagonal dissimilarity > structure > > for my input_model? If so, is there a simple way to do this? > > from scipy.spatial.distance import squareform > > ? > > btw -- just in case -- have a look at > http://www.pymvpa.org/examples/rsa_fmri.html > > which shows typical usecases > > Cheers, > -- > Yaroslav O. Halchenko, Ph.D. > http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org > Research Scientist, Psychological and Brain Sciences Dept. > 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 > > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa > > ------------------------------ > > End of Pkg-ExpPsy-PyMVPA Digest, Vol 87, Issue 8 > ************************************************ > -- Charlotte Murphy PhD Student Department of Psychology University of York, Heslington, York, YO10 5DD, UK Email: [email protected]
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