[pymvpa] load raw 'not nifti' data

[Yaroslav Halchenko]

another possible (haven't tried... unfortunately I am still ignorant in
FreeSurfer ;) ) way is

 sudo apt-get install python-surfer

and then in python

  from surfer.io import read_morph_data
  x =  read_morph_data(filename)

and then combined them into dataset as Per mentioned.

On Tue, 04 Oct 2011, Per B. Sederberg wrote:

> Hi Greg:

> You can save out that big matrix to a mat file from matlab (say the
> matrix is named mymat and you save it to mymatrix.mat) and then read
> it in with:

> import scipy.io
> x = scipy.io.loadmat('mymatrix.mat')['mymat']

> Then in pymvpa (depending on the version you are using) you can get it
> ready for business with:

> from mvpa.suite import *

> dat = dataset_wizard(x, targets=cov_of_interest, chunks=range(len(x)))

> Then you can can start analyzing away...

> Best,
> Per
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