I have 855 images corresponding to a subject doing an experiment each image corresponds to a TR of the experiment that should be analyzed.<br><br>I haven't only my images in Talairach space after basic preprocessing steps (time, motion correction etc.), when I load my dataset I print scl_* values, and I have my first image with the values cited above, and the rest with 0.0 value. After loading I have to zscore my images and proceed with other mvpa steps. Am I wrong? <br>
<br>So, I have upgraded to 0.6 version!<br><br>Thank you<br>RG<br><br><div class="gmail_quote">2011/3/29 Yaroslav Halchenko <span dir="ltr"><<a href="mailto:debian@onerussian.com">debian@onerussian.com</a>></span><br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">so, you have 1 image with scaling and the rest without scaling...<br>
<br>
does data from those images participate together in some analysis? e.g.<br>
do they all correspond to different functional runs which get loaded and<br>
no zscoring per run is invoked? then you might have a problem because in<br>
older versions of pymvpa values from the first values would be offset by<br>
19 and divided by 17 (i.e. scaling was not applied).<br>
<br>
in any case you should be safe if you are using pymvpa 0.6.* or 0.4.7<br>
<div class="im"><br>
On Tue, 29 Mar 2011, Roberto Guidotti wrote:<br>
<br>
</div><div class="im">> and what was "the right value"? in the first image?<br>
<br>
> scl_slope = 17.0 and scl_inter = 19.0<br>
> Probably I've misunderstood your ANNOUNCEMENT of the new release of the<br>
> software!! I'm sorry<br>
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