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Predicting Brain Scores on new data
alebedev
Posted on 06/18/16 17:11:51
Number of posts: 2
alebedev posts:

Dear Colleagues,

Thanks a lot for the toolbox! Could you please suggest an easy strategy for predicting LV scores on a new independent sample?

If you could just wite and example command that would allow projecting new image onto the LV space, it would be particualry great.

Thanks a lot in advance, and sorry if this question is too basic and/or has already been asked elswhere.

 

Best Wishes,

Alexander

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rmcintosh
Posted on 06/18/16 18:28:50
Number of posts: 394
rmcintosh replies:

quote:

Dear Colleagues,

Thanks a lot for the toolbox! Could you please suggest an easy strategy for predicting LV scores on a new independent sample?

If you could just wite and example command that would allow projecting new image onto the LV space, it would be particualry great.

Thanks a lot in advance, and sorry if this question is too basic and/or has already been asked elswhere.

 

Best Wishes,

Alexander

Glad you like the tools.  We are hoping to release a significant update in the Fall!

 

As for your question, in the results structure matrix there is a variable 'u' which contains the singular vector for the brain images (assuming you are doing imaging).  The weights in ''u' are what you need to compute scores on a new dataset:  newscores= newdata * u;




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