Back to PLS Help

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

Replies:

Untitled Post
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;




Login to reply to this topic.

  • Keep in touch

Enter your email above to receive electronic messages from Baycrest, including invitations to programs and events, newsletters, updates and other communications.
You can unsubscribe at any time.
Please refer to our Privacy Policy or contact us for more details.

  • Follow us on social
  • Facebook
  • Instagram
  • Linkedin
  • Pinterest
  • Twitter
  • YouTube

Contact Us:

3560 Bathurst Street
Toronto, Ontario
Canada M6A 2E1
Phone: (416) 785-2500

Baycrest is an academic health sciences centre fully affiliated with the University of Toronto