Hi There, I am a complete newbie to PyMVPA, and currently doing an eyetracking study. I'm currently navigating the eyetracking tutorial, but wanted to get your pearls as well- thanks for your patience in advance. My study has a within-subjects design, where each trial is either condition A or B, and we're looking at gaze differences between the conditions. Stimuli are randomly presented either on the left or the right side of the screen, so the analysis is a little complex . I am hoping to do two different things:
1. Input difference scores between (Xcoord- Xcenter) and (Ycoord- Ycenter) for each trial- there will be a different number of trackable instances for each timepoint (depending on whether track was lost, blink frequency, etc) to predict condition A vs B 2. Input a scalar value indicating the percentage of time spent within the stimulus area of interest on the screen (ie, 0.70 = on the stimulus for 70% on stimulus), for each trial, and again predict whether the trial was of condition A or B, but this time have one value per trial I was wondering how you would recommend approaching the two analyses outlined above. Thanks so much for your help, Bruna Martins -- *Bruna S. Martins* * * Ph.D. Student- Clinical Psychology Emotion & Cognition Lab- Gero 341 University of Southern California (213) 821- 5701
_______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
