[pymvpa] How to build the null-distribution

[cfygj]

>(2)My second is to test the significance of prediction accuracy. So I must fristly estimate the null-distribution using permutation testing for these prediction accuacy.
>
>Please see the documentation on the PyMVPA website ("the earth is round").
No. the documentation on the PyMVPA manual is appropriate to estimate the null-distribution under this condition that there is only one task and train a clf on some runs and then to use this trained clf to predict the remaining run. However, now I have two independent tasks and two independent data. So I can not use the script in the manual directly. However, I am new  to machine learning and do not know how to write the appropriate scirpt.
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